Prolific
Posted 159 days agoVerified live 1d ago
Computer Sciences - Graduates - AI Training - Columbus, US
Brief overview
Remote
UndergradOr in progress
$60/hrStated minimum
38 H-1B approvalsDept. of Labor
2 green cardsCertified filings
Interpreting research papersUnderstanding complex algorithmsReviewing code logicAnalytical thinkingFact-checking technical contentAI evaluation and rankingScientific reviewReinforcement Learning from Human Feedback (RLHF)Code and logic verification
About the company
Prolificprolific.com
Building the most advanced global infrastructure for People Science.
Visa sponsorship history
4 years sponsoring, last filed FY2026H-1B dependent
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.38H-1B approved
100%approval rate
26new H-1B hires
2PERM certified
$86,185median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202316
202413
20256
20263
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20235
20242
20251
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20242
Top sponsored roles
Senior DevOps EngineerAssociate Project ManagerQuality Assurance AnalystSoftware DeveloperSoftware Development Engineer in Test (SDET)
Sponsored employees from
India
Job description
Summary
Prolific is building the biggest pool of quality human data in the world, and they are seeking Computer Science Specialists to join their Expert Network. The role involves training and evaluating AI models by reviewing research papers, fact-checking AI outputs, and providing human feedback to ensure the accuracy and integrity of AI-generated data.
Responsibilities
- AI Evaluation & Ranking: comparing multiple AI-generated responses to technical prompts and ranking them based on accuracy, logic, and safety
- Scientific Review: reviewing CS research papers alongside AI-generated summaries and graphical abstracts to ensure scientific integrity
- Fact-Checking: identifying inaccuracies where the AI has misinterpreted technical data, formulas, or research findings
- RLHF (Reinforcement Learning from Human Feedback): providing the human "ground truth" to help models align with professional standards in software engineering and data science
- Code & Logic Verification: auditing AI-generated code snippets or architectural diagrams for structural and functional correctness
Skills
- Educational Background: at minimum, a BSc (Bachelor of Science) in Computer Science or a closely related technical field
- Technical Literacy: ability to interpret research papers, understand complex algorithms, and review code logic
- Analytical Mindset: high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws
- Professional Verification: a valid LinkedIn profile to verify your degree and background during the screening process
- A PayPal account to receive payment from our clients
Qualifications
Must Haves
- Educational Background: at minimum, a BSc (Bachelor of Science) in Computer Science or a closely related technical field
- Technical Literacy: ability to interpret research papers, understand complex algorithms, and review code logic
- Analytical Mindset: high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws
- Professional Verification: a valid LinkedIn profile to verify your degree and background during the screening process
- A PayPal account to receive payment from our clients
Benefits
- Flexible hours
- The ability to work from home
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