Part Time Jobs in Bahrain

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Title: Dermatologist – Bahrain</b></p><p><br></p><p><b>Location:</b> Bahrain</p><p> <b>Job Type:</b> Full-time / Part-time</p><p> <b>Joining:</b> Immediate / Ready to join preferred</p><p><br></p><p>We are looking for a qualified <b>Dermatologist</b> to join our medical center in Bahrain. The candidate must have a valid <b>NHRA license</b> or be fully eligible and ready for NHRA registration.</p><p><br></p><p><b>Requirements:</b></p><p><br></p><p>Valid <b>NHRA license in Bahrain</b> is preferred / required</p><p> Ready to join immediately</p><p> Experience in dermatology and aesthetic procedures</p><p> Professional appearance and excellent communication skills</p><p> Ability to consult, diagnose, and provide treatment plans for patients</p><p> Experience with Botox, fillers, skin boosters, PRP, mesotherapy, laser, acne treatment, pigmentation, and anti-aging treatments is an advantage</p><p> Arabic and/or English speaking preferred</p><p> Must be patient-focused, ethical, and able to work as part of a medical team</p><p><br></p><p><b>Responsibilities:</b></p><p><br></p><p>Examine and consult patients for dermatology and aesthetic concerns</p><p> Provide safe and professional dermatology treatments</p><p> Perform aesthetic procedures according to NHRA regulations and clinic protocols</p><p> Maintain accurate patient medical records</p><p> Explain treatment plans, risks, benefits, and aftercare clearly to patients</p><p> Follow infection control and patient safety standards</p><p> Support the clinic in providing high-quality dermatology and aesthetic services</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Strong experience in medical dermatology and aesthetic dermatology</p><p> Skilled in patient consultation, diagnosis, and treatment planning</p><p> Experience with Botox, fillers, skin boosters, PRP, mesotherapy, chemical peels, acne treatment, pigmentation, and anti-aging treatments</p><p> Laser experience is an advantage</p><p> Excellent communication skills with patients</p><p> Professional, presentable, and confident personality</p><p> Ability to explain procedures, risks, benefits, and aftercare clearly</p><p> Good sales and consultation skills without being pushy</p><p> Patient-focused and ethical approach</p><p> Ability to work under NHRA regulations and clinic protocols</p><p> Good teamwork with nurses, reception, and management</p><p> Arabic and English speaking is an advantage</p><p> Ready to join immediately and flexible with clinic schedule</p><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Love Football (Soccer)?<br> Love Business?<br> Stranger Soccer is rolling out to key cities globally, and we’re seeking a License Owner / Operator to launch and operate the Stranger Soccer brand in Bahrain.<br> This isn’t your regular management role — it’s truly built for someone who wants to run, grow, and own their own venture, while helping make football more accessible in their city.<br> Best suited for entrepreneurial individuals who love football and enjoy seeing tangible results from their work.<br> ⚽ About the Role As License Owner/Operator, you will be responsible for establishing and growing Stranger Soccer in Bahrain.<br> You will oversee daily operations while building a strong, engaged football community.<br> This opportunity goes beyond typical employment — it is ideal for someone who enjoys hands-on ownership, is driven by performance, and wants to make a real impact in their city.<br> ? What You’ll Do Launch and grow Stranger Soccer operations in Bahrain Secure and manage partnerships with football venues Recruit, train, and manage game hosts and part-time staff Drive player acquisition through creative marketing and community engagement Ensure a high-quality, consistent game experience that keeps players coming back Continuously improve and scale operations You’ll be supported by our headquarters team in Singapore, including: Technology platform (app, payments, automation) Proven operating model Ongoing operational and marketing guidance ? Who We’re Looking For Passionate about football with strong local insight Entrepreneurial mindset with a bias for action Comfortable taking ownership and driving measurable results Experience in operations, events, community building, or similar areas Strong communication and people leadership skills ? What Makes This Opportunity Unique Full ownership and autonomy over local operations Direct impact on growth and success in your city Performance-driven structure with strong upside potential Opportunity to build and lead a local team ? About Stranger Soccer Stranger Soccer makes playing football as easy as going for a jog.<br> Through our mobile app, players can browse games, book slots, and play anytime.<br> Born in Singapore, Stranger Soccer is now open in 10+ cities around the world, with over 100,000 games run.<br> We continue to grow and are accepting applications from license partners who want to bring Stranger Soccer to their city.<br> ? How to Apply To learn more about this opportunity, please visit: www.<br>strangersoccer.<br>com (see “Bring Stranger Soccer to your City” ) If this aligns with your ambitions, we’d love to hear from you.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Love Football (Soccer)?<br> Love Business?<br> Stranger Soccer is rolling out to key cities globally, and we’re seeking a License Owner / Operator to launch and operate the Stranger Soccer brand in Bahrain.<br> This isn’t your regular management role — it’s truly built for someone who wants to run, grow, and own their own venture, while helping make football more accessible in their city.<br> Best suited for entrepreneurial individuals who love football and enjoy seeing tangible results from their work.<br> ⚽ About the Role As License Owner/Operator, you will be responsible for establishing and growing Stranger Soccer in Bahrain.<br> You will oversee daily operations while building a strong, engaged football community.<br> This opportunity goes beyond typical employment — it is ideal for someone who enjoys hands-on ownership, is driven by performance, and wants to make a real impact in their city.<br> ? What You’ll Do Launch and grow Stranger Soccer operations in Bahrain Secure and manage partnerships with football venues Recruit, train, and manage game hosts and part-time staff Drive player acquisition through creative marketing and community engagement Ensure a high-quality, consistent game experience that keeps players coming back Continuously improve and scale operations You’ll be supported by our headquarters team in Singapore, including: Technology platform (app, payments, automation) Proven operating model Ongoing operational and marketing guidance ? Who We’re Looking For Passionate about football with strong local insight Entrepreneurial mindset with a bias for action Comfortable taking ownership and driving measurable results Experience in operations, events, community building, or similar areas Strong communication and people leadership skills ? What Makes This Opportunity Unique Full ownership and autonomy over local operations Direct impact on growth and success in your city Performance-driven structure with strong upside potential Opportunity to build and lead a local team ? About Stranger Soccer Stranger Soccer makes playing football as easy as going for a jog.<br> Through our mobile app, players can browse games, book slots, and play anytime.<br> Born in Singapore, Stranger Soccer is now open in 10+ cities around the world, with over 100,000 games run.<br> We continue to grow and are accepting applications from license partners who want to bring Stranger Soccer to their city.<br> ? How to Apply To learn more about this opportunity, please visit: www.<br>strangersoccer.<br>com (see “Bring Stranger Soccer to your City” ) If this aligns with your ambitions, we’d love to hear from you.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description</span><p><b>Are You Ready to Make It Happen at Mondelēz International?</b></p><br><p><b>Join our Mission to Lead the Future of Snacking. Make It Matter.</b></p><br><p>As an organization we are committed to developing the next generation of Makers and Bakers. Joining us at an early career stage in our fast paced and ever changing environment will enable you to do more, learn more and grow more. You will be encouraged to step outside your comfort zone– you may even surprise yourself! We will ensure you are given the support you need to be at your best and enable you to be yourself and bring passion and personality. Here you can lean in and speak up and bring your own flavor.</p><br><p><b><u>More about this role</u></b></p><br><b>Duration:</b>8 Months<p>We are seeking a highly motivated and detail-oriented Finance Intern to join our team for an 8-month period. This internship provides a valuable opportunity to gain hands-on experience in various aspects of corporate finance, working alongside experienced professionals and contributing to real-world projects. The ideal candidate will be eager to learn, possess strong analytical skills, and have a solid foundation in finance or accounting principles.</p><br>Responsibilities:<ul><li>Assist with financial reporting, analysis, and forecasting activities.</li><li>Support budgeting processes and monitor financial performance against budgets.</li><li>Contribute to data collection, analysis, and presentation for financial reviews.</li><li>Participate in month-end and year-end closing processes as needed.</li><li>Conduct research on market trends, financial regulations, and competitor analysis.</li><li>Assist with ad-hoc financial projects and initiatives as assigned.</li><li>Prepare presentations and reports for various stakeholders.</li></ul>Qualifications:<ul><li><b>Experience:</b>Previous internship experience in finance or a related field is a plus, but not required.</li><li><b>Work Ethic:</b>Strong work ethic with a proactive and results-oriented approach.</li><li><b>Communication:</b>Excellent verbal and written communication skills.</li><li><b>Analytical Thinking:</b>Demonstrated ability to analyze data, identify trends, and draw actionable insights.</li><li><b>Problem-Solving:</b>Strong problem-solving abilities and attention to detail.</li><li><b>Teamwork:</b>Ability to work effectively both independently and as part of a team.</li><li><b>Adaptability:</b>Eagerness to learn new concepts and adapt to a fast-paced environment.</li><li><b>Integrity:</b>High level of integrity and professional ethics.</li></ul>Education:<ul><li>Currently enrolled in a Bachelor's or Master's degree program in Finance, Accounting, Economics, Business Administration, or a related field.</li><li>Must be able to commit to an 8-month full-time or part-time internship.</li><li>Minimum GPA of 3.0 (or equivalent) preferred.</li></ul>Skills:<ul><li><b>Financial Acumen:</b>Basic understanding of financial statements (P&amp;L, Balance Sheet, Cash Flow), accounting principles, and financial analysis.</li><li><b>Software Proficiency:</b><ul><li><b>Microsoft Excel:</b>Advanced proficiency (e.g., pivot tables, VLOOKUP, financial functions, data modeling).</li><li><b>Microsoft PowerPoint:</b>Strong ability to create clear and compelling presentations.</li><li><b>Other MS Office Suite:</b>Proficient in Word and Outlook.</li></ul></li><li><b>Data Analysis:</b>Ability to interpret financial data and present findings clearly.</li><li><b>Research Skills:</b>Capable of conducting thorough research and synthesizing information.</li><li><b>Time Management:</b>Excellent organizational and time management skills, with the ability to prioritize tasks and meet deadlines.</li></ul>&amp;#xa;&amp;#xa;No Relocation support available<span><b>Business Unit Summary</b></span>Mondelēz International in the Middle East, North Africa and Pakistan serves the Middle East and Africa markets as well as Australia, New Zealand, the UK and Canada. Headquartered in Dubai, UAE, we have more than 2600 employees working across seven plants and six commercial offices; we make, bake, sell and deliver our products to customers. We are market leaders in key snacking categories with iconic global and local brands including Cadbury Dairy Milk chocolate, Milka, Oreo and belVita biscuits, Barni Cakes,Tang powdered beverage, Chiclets and Trident gum and Halls candy.&nbsp;<p>Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.</p><br><b><span>Job Type</span></b>Intern (Fixed Term)InternsEarly Careers </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance); Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E; Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance; Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field; 3+ years of of mortgage, lending, real estate, or financial services experience; Current or recent experience in underwriting &amp; origination or adjacent roles; Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1; Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance; Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness; Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral; Build subrogation test cases applying state-specific negligence rules (comparative vs.<br> contributory) and assess likelihood of recovery; Document test cases clearly with correct answers, policy citations, and payout calculations.<br> What we look for This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field; 3+ years of insurance, claims, legal, or financial services experience; Current or recent experience in claims &amp; adjusting or adjacent roles; Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture; AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate Quarterly Business Review scenarios — performance vs.<br> benchmark, allocation drift against IPS tolerance bands, and material fund document changes; Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs.<br> long-term capital gains, and wash-sale rule application; Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement; Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks; Document test cases clearly with verified calculations, policy citations, and correct answers.<br> What we look for This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field; 2+ years of finance, investment, accounting, or financial services experience; Current or recent experience in advisory &amp; management or adjacent roles; Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance); Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E; Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance; Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field; 3+ years of of mortgage, lending, real estate, or financial services experience; Current or recent experience in underwriting &amp; origination or adjacent roles; Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1; Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance; Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness; Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral; Build subrogation test cases applying state-specific negligence rules (comparative vs.<br> contributory) and assess likelihood of recovery; Document test cases clearly with correct answers, policy citations, and payout calculations.<br> What we look for This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field; 3+ years of insurance, claims, legal, or financial services experience; Current or recent experience in claims &amp; adjusting or adjacent roles; Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture; AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance; Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness; Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral; Build subrogation test cases applying state-specific negligence rules (comparative vs.<br> contributory) and assess likelihood of recovery; Document test cases clearly with correct answers, policy citations, and payout calculations.<br> What we look for This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field; 3+ years of insurance, claims, legal, or financial services experience; Current or recent experience in claims &amp; adjusting or adjacent roles; Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture; AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance; Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness; Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral; Build subrogation test cases applying state-specific negligence rules (comparative vs.<br> contributory) and assess likelihood of recovery; Document test cases clearly with correct answers, policy citations, and payout calculations.<br> What we look for This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field; 3+ years of insurance, claims, legal, or financial services experience; Current or recent experience in claims &amp; adjusting or adjacent roles; Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture; AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate rule application scenarios — reading a compliance artifact (advertisement, disclosure, policy) against a specific regulation and citing the exact subsection that applies or is violated; Write sanctions alert disposition cases with structured false-positive reasoning documentation and escalation scenarios; Build compliance testing scenarios: sample selection, test design, findings documentation, and examiner-ready conclusion memos; Develop policy gap identification cases where an internal policy is silent on a regulatory requirement, contradicts the regulation, or has not been updated to reflect a recent change; Document all test cases with verified regulatory citations to the specific subsection — never approximated, never fabricated.<br> What we look for This opportunity is a good fit for professionals with a background in compliance, regulatory affairs, legal services, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Law, Finance, Economics, Business Administration, Accounting, or any related field; 2+ years of compliance, audit, legal, risk management, or financial services experience; Current or recent experience in compliance &amp; regulatory roles, financial crimes, or adjacent roles; Citation discipline as a core habit — able to identify the exact regulatory subsection that applies and flag uncertainty rather than approximate; CRCM, CAMS, or equivalent local credential is a strong positive signal; former regulatory examiner or inspector status is equally strong; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate fee inquiry and statement clarification scenarios — verifying that fee amounts match disclosed schedules and distinguishing descriptor-mapping questions from real fraud claims; Create autopay and payment setup scenarios with deliberate traps: incorrect payee, insufficient-funds policy, wrong draft date, or missing confirmation steps; Build card replacement and fraud claim scenarios testing card-block urgency, fraud-signal recognition, intake information capture, and clean handoff to the disputes team; Author account closure scenarios testing retention-offer eligibility logic, pending-transaction checks, and refusal to extend offers to ineligible customers; Grade responses on both factual accuracy and conversational tone: empathy under pressure, channel-appropriate register (voice vs.<br> chat), and clarity without over-promising.<br> What we look for This opportunity is a good fit for professionals with a background in customer service, banking, or financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Business Administration, Economics, Communications, Psychology, Marketing, or any related field; 2+ years of customer service, banking, retail, or financial services experience; Current or recent experience in customer service &amp; support, or banking &amp; financial roles, or adjacent roles; Routing judgment — clear instinct for what is and isn't servicing's scope, and ability to read a fee schedule or policy document to identify which rule applies to a specific situation; QA analyst, call-center trainer, or conversation designer background is a strong positive signal; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate rule application scenarios — reading a compliance artifact (advertisement, disclosure, policy) against a specific regulation and citing the exact subsection that applies or is violated; Write sanctions alert disposition cases with structured false-positive reasoning documentation and escalation scenarios; Build compliance testing scenarios: sample selection, test design, findings documentation, and examiner-ready conclusion memos; Develop policy gap identification cases where an internal policy is silent on a regulatory requirement, contradicts the regulation, or has not been updated to reflect a recent change; Document all test cases with verified regulatory citations to the specific subsection — never approximated, never fabricated.<br> What we look for This opportunity is a good fit for professionals with a background in compliance, regulatory affairs, legal services, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Law, Finance, Economics, Business Administration, Accounting, or any related field; 2+ years of compliance, audit, legal, risk management, or financial services experience; Current or recent experience in compliance &amp; regulatory roles, financial crimes, or adjacent roles; Citation discipline as a core habit — able to identify the exact regulatory subsection that applies and flag uncertainty rather than approximate; CRCM, CAMS, or equivalent local credential is a strong positive signal; former regulatory examiner or inspector status is equally strong; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate Quarterly Business Review scenarios — performance vs.<br> benchmark, allocation drift against IPS tolerance bands, and material fund document changes; Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs.<br> long-term capital gains, and wash-sale rule application; Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement; Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks; Document test cases clearly with verified calculations, policy citations, and correct answers.<br> What we look for This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field; 2+ years of finance, investment, accounting, or financial services experience; Current or recent experience in advisory &amp; management or adjacent roles; Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate fee inquiry and statement clarification scenarios — verifying that fee amounts match disclosed schedules and distinguishing descriptor-mapping questions from real fraud claims; Create autopay and payment setup scenarios with deliberate traps: incorrect payee, insufficient-funds policy, wrong draft date, or missing confirmation steps; Build card replacement and fraud claim scenarios testing card-block urgency, fraud-signal recognition, intake information capture, and clean handoff to the disputes team; Author account closure scenarios testing retention-offer eligibility logic, pending-transaction checks, and refusal to extend offers to ineligible customers; Grade responses on both factual accuracy and conversational tone: empathy under pressure, channel-appropriate register (voice vs.<br> chat), and clarity without over-promising.<br> What we look for This opportunity is a good fit for professionals with a background in customer service, banking, or financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Business Administration, Economics, Communications, Psychology, Marketing, or any related field; 2+ years of customer service, banking, retail, or financial services experience; Current or recent experience in customer service &amp; support, or banking &amp; financial roles, or adjacent roles; Routing judgment — clear instinct for what is and isn't servicing's scope, and ability to read a fee schedule or policy document to identify which rule applies to a specific situation; QA analyst, call-center trainer, or conversation designer background is a strong positive signal; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <p>A link to GitHub is a plus.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>