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Remote Physicist - AI Trainer

Remote / Online - Candidates ideally in
Windsor, Ontario, Canada
Listing for: SuperAnnotate
Contract, Remote/Work from Home position
Listed on 2026-01-01
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist, AI Engineer
Job Description & How to Apply Below
We’re seeking physicists to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding;

fact-check physics information; write high-quality physics explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on physics correctness and reasoning quality.

Key Responsibilities:

• Develop AI Training Content:
Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.

• Optimize AI Performance:
Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.

• Ensure Model Integrity:
Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Your Profile:

• You hold a Bachelor's Degree in Physics or a related field in one of the top 100 universities.

• Confident in physical reasoning, mechanics, electromagnetism, optics, thermodynamics/statistical mechanics, and modeling/systems thinking

• Expert at fact-checking information using public sources across multiple domains.

• You communicate physics clearly and turn advanced theory into real-world solutions.

• Background in research, analytical writing, debate, programming, or physics is preferred.

• English proficiency C1 and above with excellent writing skills.

• Bonus:
Data labeling, RLHF, or AI model evaluation experience.
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