ProlificPosted 30+ days ago
Computer Sciences - Graduates - AI Training - Kansas City, US
Prolific
New Grad
- Posted
- 30+ Days Ago
- Source
- linkedin.com
- Sector
- Information Technology & AI
Opens the employer's application page in a new tab
← Back to jobsJob ID col-cmvv592h804ke42b9wlhjuij0
Responsibilities
- 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
Qualifications
- 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
Required skills
AI Model EvaluationCode Logic ReviewCode VerificationComputer ScienceFact-Checking Technical DataGenerative AILarge Language Models (LLMs)Research Paper InterpretationScientific Review
Full job description
Computer Sciences - Graduates - AI Training - Kansas City, US jobs in United States
Prolific
- New Grad
- $0/hr - $60/hr
- Education Match
Responsibilities
- 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
Benefits
- Flexible hours
- The ability to work from home
- Paid tasks that require one hour of uninterrupted work , though many are shorter
- Building the most advanced global infrastructure for People Science.
- London, England, GBR
- https://www.prolific.com/
- Distribution of Different Job Fields Receiving Sponsorship
- Represents job field similar to this job
- Engineering and Development
- Management and Executive
- Customer Service and Support
- Sales
- Trends of Total Sponsorships
- *2026
- (4)
- 2025
- (12)
- 2024
- (7)
- 2023
- (16)
- 2022
- (39)
- 2021
- 2020
- (8)
- Growth Stage
- Total Funding
- $33.54M
Qualifications
- 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
Required skills
- AI Model Evaluation, Algorithm Understanding, Code Logic Review, Code Verification, Computer Science, Fact-Checking Technical Data, Generative AI, Large Language Models (LLMs), Reinforcement Learning from Human Feedback (RLHF), Research Paper Interpretation, Scientific Review
Job details
Employment type
Seniority level
Not stated
Sector · Sub-sector
Date posted
May 30, 2026
Work mode
Remote
Job source
linkedin.com
Company
- United States
- Information Technology & AI
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Computer Sciences - Graduates - AI Training - Kansas City, US
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