Jobs · Engineering

Computer Sciences - Graduates - AI Training - USA

Prolific · New York, NY · 2 mo ago
RemoteRemoteEngineering$60/hrTemporary

About the role

We're looking for Computer Science Specialists to join our Expert Network to help train and evaluate cutting-edge AI models.

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.

Requirements

  • 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.

Qualifications

  • Key Technologies: Generative AI & LLMs, Technical Documentation, Verification Frameworks.

Skills

  • Ability to interpret research papers.
  • Understanding of complex algorithms.
  • Reviewing code logic.
  • High level of cognitive competency.
  • Sharp eye for technical hallucinations or logical flaws.

Benefits

  • Competitive pay rates.
  • Flexible hours.
  • The ability to work from home.

Pay

  • Paid tasks range from 1 hour to several hours, depending on the complexity of the task.

Schedule

  • Tasks are typically scheduled around your availability.

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