Computer Sciences - Graduates - AI Training - USA
Prolific · New York, NY · 2 mo ago
RemoteRemoteEngineering$60/hrTemporary
About the role
We're looking for Computer Science Specialists to join our Expert Network to help train and evaluate cutting-edge AI models.
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.
Requirements
- 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
- Key Technologies: Generative AI & LLMs, Technical Documentation, Verification Frameworks.
Skills
- Ability to interpret research papers.
- Understanding of complex algorithms.
- Reviewing code logic.
- High level of cognitive competency.
- Sharp eye for technical hallucinations or logical flaws.
Benefits
- Competitive pay rates.
- Flexible hours.
- The ability to work from home.
Pay
- Paid tasks range from 1 hour to several hours, depending on the complexity of the task.
Schedule
- Tasks are typically scheduled around your availability.