Prolific→
Computer Sciences - Graduates - AI Training -… at Prolific · Remote
Entry LevelRemoteFull-timeRemote$125k–$125k/yr
Skills
computer scienceresearch paper interpretationalgorithm understandingcode logic reviewtechnical analysisai model evaluationscientific reviewfact-checkingreinforcement learning from human feedback (rlhf)software engineering standardsdata science standards
Job Description
Summary: Prolific is building the biggest pool of quality human data in the world, connecting researchers with participants for AI training. The role involves evaluating AI models, reviewing scientific data, and ensuring the integrity of AI-generated outputs.
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
Required Qualifications:
- at minimum, a BSc (Bachelor of Science) in Computer Science or a closely related technical field
- ability to interpret research papers, understand complex algorithms, and review code logic
- high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws
- a valid LinkedIn profile to verify your degree and background during the screening process
- a PayPal account to receive payment from our clients
Required Skills: Computer Science, Research Paper Interpretation, Algorithm Understanding, Code Logic Review, Technical Analysis, AI Model Evaluation, Scientific Review, Fact-Checking, Reinforcement Learning from Human Feedback (RLHF), Software Engineering Standards, Data Science Standards
Benefits: Flexible hours, The ability to work from home
Benefits
Flexible hours
The ability to work from home