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Physics Masters

  • Canada
  • Remote
  • Posted Oct 22, 2026
  • 1 position

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Employment type
Contract
Experience level
Entry, Junior · 0+ years
Minimum education
Master’s degree
Posting language
English
Working hours
40 hours per week
Seniority
Entry level

Job summary

Create advanced physics problems and rigorous step-by-step solutions, and evaluate AI-generated responses for scientific accuracy and reasoning quality. Collaborate with researchers to develop physics benchmarks and provide structured feedback to improve AI models.

Job details

Physics Masters – AI Training Specialist About The Role We're looking for Physics Masters graduates and current students to help train and evaluate cutting-edge AI models. Your deep understanding of physics will directly shape how the next generation of AI reasons through complex scientific problems — making a real and lasting impact on the field. This is a fully remote, flexible contract role working alongside top AI research labs. No prior AI experience needed — just strong physics knowledge and sharp analytical thinking. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design advanced physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more Develop rigorous, step-by-step solutions that demonstrate clear and logical reasoning Evaluate AI-generated responses for scientific accuracy, depth, and quality of reasoning Collaborate with researchers to build and refine benchmarks across undergraduate to Masters-level physics Provide structured written feedback to improve AI model performance on complex STEM tasks Who You Are Currently pursuing or have completed a Masters degree in Physics, Applied Physics, or a closely related field Strong analytical and problem-solving skills across advanced physics domains Able to communicate complex scientific concepts clearly and precisely in writing Detail-oriented with a systematic approach to evaluating quality and accuracy Self-motivated and comfortable working independently and asynchronously No prior AI or machine learning experience required Nice to Have Experience with data annotation, quality evaluation, or academic research Familiarity with writing technical documentation or structured feedback Background spanning multiple physics subfields Why Join Us Work on genuinely cutting-edge AI projects with leading research labs Fully remote and flexible — work on your own schedule, from anywhere Freelance perks: high autonomy, variety in work, and global collaboration Directly contribute to improving how AI understands and applies physics Potential for ongoing work and contract renewal

What you’ll do

Create advanced physics problems and rigorous step-by-step solutions, and evaluate AI-generated responses for scientific accuracy and reasoning quality. Collaborate with researchers to develop physics benchmarks and provide structured feedback to improve AI models.

Requirements

Applicants must be pursuing or have completed a master's degree in Physics, Applied Physics, or a closely related field, with strong analytical and problem-solving skills across advanced physics topics. They should communicate scientific concepts clearly in writing, work independently, and evaluate quality systematically; prior AI or machine-learning experience is not required.

Benefits

  • Flexible Schedule
  • Remote Work
  • Autonomy
  • Global Collaboration
  • Potential for Ongoing Work and Contract Renewal

Listed skills

  • Technical Documentation · Preferred
  • written communication · Preferred
  • Problem solving · Preferred
  • mechanics · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Physics
  • Applied Physics
  • Analytical Thinking
  • Problem-Solving
  • Mechanics
  • Electromagnetism
  • Thermodynamics
  • Quantum Mechanics
  • Scientific Accuracy Evaluation
  • AI Response Evaluation
  • Written Communication
  • Technical Documentation
  • Quality Evaluation
  • Data Annotation
  • Benchmark Development
  • Independent Work

Job areas

  • Science & Research
  • Technology
  • Education
  • Data & Analytics

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