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AI Trainer - Graphical Abstract - Physics; Remote - Manchester

Remote / Online - Candidates ideally in
Washington, District of Columbia, 20022, USA
Listing for: prolificacademicltd
Remote/Work from Home position
Listed on 2026-10-02
Job specializations:
  • Research/Development
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 40 USD Hourly USD 40.00 HOUR
Job Description & How to Apply Below
Position: AI Trainer - Graphical Abstract - Physics (Remote - Manchester)

Role overview

This listing invites physicists to join an expert talent network that supports AI research and model evaluation; entry to the pool does not guarantee project placement, which depends on client demand and profile fit. Specialists review scientific papers alongside AI-generated graphical abstracts, surfacing inaccuracies that improve how language models handle scientific content. The work is fully remote, paid by the hour, and scheduled flexibly around completed tasks.

Responsibilities
  • Audit physics research papers paired with LLM-generated graphical abstracts that summarize them
  • Identify any mismatches between the abstract's representation and the paper's actual findings
  • Deliver structured feedback that informs model training and quality evaluation
  • Complete paid assignments typically requiring up to one hour of uninterrupted focus
  • Take on research projects on an as-needed basis depending on network demand
Requirements
  • Master's degree or higher in physics or a closely related discipline
  • Deep subject-matter expertise in physics
  • Prior experience with fact-checking, peer review, or AI-related annotation tasks
  • Verifiable Linked In profile or equivalent professional history
  • Strong attention to detail and the ability to concentrate for sustained periods
  • Reliable, high-speed internet connection and access to a computer
Benefits and work setup
  • Compensation typically starting at $40 per hour for completed assignments
  • Fully remote work with flexible scheduling
  • Opportunity to contribute to the development of AI systems used in scientific research
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