Computer Sciences - Graduates - AI Training - Washington DC, US

Prolific; Washington (District of Columbia); Hybrid; USD 68,880 - 82,656; Full time

Job summary

Prolific is looking for Computer Science Specialists in Washington, DC to join their Expert Network. Successful candidates will work on evaluating AI models, ranking AI-generated responses, and reviewing technical research. Responsibilities include fact-checking research summaries and auditing AI-generated code. A minimum Bachelor's degree in Computer Science or related field is required, along with a strong analytical mindset. Payment is up to $60/hr depending on skills and experience.

Qualifications

• Minimum BSc in Computer Science or closely related technical field.
• Ability to interpret research papers and understand complex algorithms.
• High cognitive competency with sharp eye for logical flaws.

Responsibilities

• Comparing AI-generated responses and ranking them based on accuracy.
• Reviewing CS research papers alongside AI-generated summaries.
• Identifying inaccuracies where AI misinterprets technical data.

Skills

Ability to interpret research papers

Understanding complex algorithms

Analytical mindset

Attention to detail

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.