Computer Sciences - Graduates - AI Training - Portland, US

Prolific; Portland (OR); On-site; USD 68,191 - 97,120; Part time

Job summary

Prolific is looking for Computer Science Specialists to join their Expert Network for AI training and evaluation. This role involves tasks such as comparing AI-generated content, reviewing scientific papers, and fact-checking technical data. Candidates should have a B.Sc. in Computer Science and strong analytical skills. Pay can reach up to $60/hour, and tasks typically require one hour of uninterrupted work. Join us in advancing AI capabilities while getting compensated for your expertise.

Qualifications

• Minimum educational background of a Bachelor's degree in Computer Science.
• Required ability to interpret research papers and understand complex algorithms.
• Must possess analytical mindset with attention to detail in technical evaluations.

Responsibilities

• Evaluate and rank AI-generated responses based on accuracy and logic.
• Review CS research papers with AI summaries to ensure scientific integrity.
• Fact-check technical data and AI-generated findings for accuracy.

Skills

Ability to interpret research papers

Understanding complex algorithms

Attention to technical details

Analytical mindset

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.