Computer Sciences - Graduates - AI Training - Austin, US

Prolific; Austin (TX); Hybrid; USD 68,191 - 97,120; Part time

Job summary

Prolific is seeking Computer Science Specialists in Austin, TX, to train AI models and ensure data integrity. Ideal candidates possess at least a BSc in Computer Science and have strong technical literacy. Responsibilities include evaluating AI-generated responses and reviewing scientific papers. Pay is up to $60/hr based on skills and experience, and candidates must have a valid LinkedIn profile for verification. This role allows for flexible, paid tasks requiring focused work.

Qualifications

• Must have a minimum BSc in Computer Science or related field.
• High technical literacy to interpret research papers and complex algorithms.
• Analytical mindset to detect logical flaws in AI outputs.

Responsibilities

• Evaluate and rank AI-generated responses based on accuracy.
• Review computer science research papers for integrity.
• Fact-check technical inaccuracies in AI outputs.
• Provide feedback to align AI models with professional standards.
• Audit AI-generated code for correctness.

Skills

Tech Literacy

Analytical Mindset

CS Research

Education

BSc in Computer Science

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.