Remote AI Quality Evaluator - CS Graduates

prolificacademicltd; United States; Remote; USD 68,000 - 97,000; Full time

Benefits offered by this job

PayPal payments

Remote work

Job summary

Prolific Academic Ltd. offers a remote, project-based role where you contribute CS expertise to evaluate AI models. Tasks include assessing technical answers, reviewing research summaries, and verifying code and diagrams.

After a brief skills check, you can join a network to pick up available assignments. Applicants review AI outputs for accuracy and safety, verify research fidelity, and provide expert feedback to improve model responses in software engineering and data science.

Qualifications

• Bachelor’s degree in computer science or a closely related field.
• Ability to understand complex algorithms, assess code logic, and interpret research papers.
• Strong analytical judgment and attention to technical inaccuracies or flawed reasoning.
• A professional profile that can be used to verify education and relevant background.
• A PayPal account for receiving task payments.
• Availability for some assignments requiring an uninterrupted hour; many tasks are shorter.

Responsibilities

• Compare AI responses to technical questions and rate their accuracy, reasoning, and safety.
• Review computer science papers alongside generated summaries and visual abstracts for fidelity to the research.
• Find errors in explanations of technical data, formulas, algorithms, or findings.
• Provide expert feedback that helps improve model responses in software engineering and data science.
• Check generated code snippets and architecture diagrams for logical and structural correctness.

Skills

Algorithms understanding

Code logic assessment

Research paper interpretation

Analytical judgment

Education

Bachelor’s degree in computer science or related field

Tools

PayPal

Job description

Prolific Academic Ltd. offers a remote, project-based role where you contribute CS expertise to evaluate AI models. Tasks include assessing technical answers, reviewing research summaries, and verifying code and diagrams.

After a brief skills check, you can join a network to pick up available assignments. Applicants review AI outputs for accuracy and safety, verify research fidelity, and provide expert feedback to improve model responses in software engineering and data science.