Computer Sciences - Graduates - AI Training - Charlotte, US

Prolific

Charlotte (NC)

On-site

USD 82,656

Full time

14 days+

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Job summary

Prolific is seeking Computer Science Specialists based in Charlotte, North Carolina, to join their Expert Network. In this role, you will train and evaluate AI models, requiring a strong background in CS research or technical analysis. Candidates should hold at least a BSc in Computer Science and be prepared for tasks that assess their skills. The compensation can reach up to $60 per hour depending on expertise. Responsibilities include reviewing AI performance and ensuring scientific integrity in technical evaluations.

Qualifications

  • BSc in Computer Science or a closely related field is required.
  • Ability to interpret research papers and understand algorithms.
  • High cognitive competency and attention to detail.

Responsibilities

  • Compare AI-generated responses to rank based on accuracy.
  • Review CS research papers and AI summaries for integrity.
  • Identify inaccuracies in AI interpretations and technical data.

Skills

Technical Literacy
Analytical Mindset
Educational Background

Education

Bachelor of Science 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.
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