AI Training Specialist - CS Research & Evaluation (Remote)

Prolific Academic Ltd

United States

Remote

USD 55,000 - 83,000

Full time

14 days+
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Benefits offered by this job

Flexible hours
Work from home
PayPal account

Job summary

Prolific Academic Ltd recruits Computer Science specialists to join its Expert Network for AI model training and evaluation. You’ll complete a short test, then work on paid tasks ranging from evaluating AI outputs to scientific review and fact-checking.

The role offers remote work with competitive pay rates and the possibility to work from home. Successful candidates will verify professional background via LinkedIn and must have a BSc in Computer Science or related field.

Qualifications

  • BSc in Computer Science or closely related technical field.
  • Ability to interpret research papers, understand algorithms, and review code logic.
  • Strong analytical and cognitive skills with attention to detail.
  • LinkedIn profile verification during screening is required.
  • PayPal account to receive payment from clients.

Responsibilities

  • AI Evaluation & Ranking: compare AI responses and rank by accuracy, logic, and safety.
  • Scientific Review: assess CS papers and AI-generated summaries for integrity.
  • Fact-Checking: flag inaccuracies where AI misinterprets data or findings.
  • RLHF: provide human grounding to help models align with professional standards.
  • Code & Logic Verification: audit AI-generated code and diagrams for correctness.

Skills

BSc in CS
Analytical mindset
Code review
Research interpretation

Education

Bachelor of Science in Computer Science

Job description

Prolific Academic Ltd recruits Computer Science specialists to join its Expert Network for AI model training and evaluation. You’ll complete a short test, then work on paid tasks ranging from evaluating AI outputs to scientific review and fact-checking.

The role offers remote work with competitive pay rates and the possibility to work from home. Successful candidates will verify professional background via LinkedIn and must have a BSc in Computer Science or related field.

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