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# Computer Sciences - Graduates - AI Training - USA

- **Company:** Prolific, Inc
- **Location:** Houston, TX, United States (Remote available)
- **Salary:** $124,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Generation, Code Review, Computer Literacy, Data Visualization, Performance Tuning, Software Engineering, Technical Data Management Systems, Reinforcement Learning, Software Repository, Large Language Models, Generative AI, Information Technology
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/computer-sciences-graduates-ai-training-usa-houston-tx--61533711-42cb-497b-9307-79e8bdb98623

## About the Role

Computer Science, Artificial Intelligence (AI), Computer Science, Artificial Intelligence (AI), Data Collection, Technical Analysis, Testing, Training/Teaching, Technical Research, Literacy, * 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

## Description

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., * 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.