Computer Sciences - Graduates - AI Training - USA

Prolific; New York (NY); Remote; USD 68,191 - 97,120; Full time

Job summary

Prolific seeks Computer Science Specialists to join their Expert Network for evaluating and training AI models. Tasks include comparing AI-generated responses, reviewing scientific papers, and fact-checking technical data. Candidates should have a minimum of a BSc in Computer Science or a related field and possess strong analytical skills. Pay can be up to $60 per hour based on skills and experience. A PayPal account and valid LinkedIn profile are necessary for payment and verification.

Qualifications

• Minimum BSc in Computer Science or a closely related technical field.
• Ability to interpret complex algorithms and research papers.
• High level of cognitive competency to identify logical flaws.

Responsibilities

• Comparing AI-generated responses and ranking them based on accuracy.
• Reviewing CS research papers and AI-generated summaries.
• Identifying inaccuracies in AI's interpretation of technical data.
• Providing human ground truth for AI alignment.
• Auditing AI-generated code snippets for correctness.

Skills

Technical Literacy

Analytical Mindset

Professional Verification

Ability to interpret research papers

Education

BSc in Computer Science or related field

Job description

Computer Sciences - Graduates - AI Training

We’re looking for Computer Science Specialists to join our Expert Network to help train and evaluate cutting‑edge AI models. If you have a background in CS research or technical analysis, we’ll send you a quick 10‑ to 15‑minute test to assess your skills. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to help AI understand and summarize complex scientific data.

Researchers looking for your skills tend to pay up to $60/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you’ll bring

• 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

What you’ll be doing in the role

• 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.

Key Technologies

• Generative AI & LLMs: training the next generation of technical and reasoning models.
• Technical Documentation: working with research papers, code repositories, and data visualizations.
• Verification Frameworks: using structured evaluation rubrics to audit AI performance.