Physics Masters

Physics Masters – AI Training Specialist
About The Role
We're looking for physics graduates and students to help train and evaluate cutting-edge AI models. Your deep understanding of physical systems, mathematical reasoning, and problem-solving will directly shape how AI tackles some of the hardest scientific questions — making a real impact on the future of intelligent systems.
This is a fully remote, flexible contract — work on your own schedule while contributing to frontier AI research alongside leading labs.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design challenging, rigorous physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more
Develop detailed, step-by-step solutions that demonstrate clear and accurate reasoning
Evaluate AI-generated physics responses for correctness, logic, and depth
Identify gaps or errors in AI reasoning and provide structured, actionable feedback
Collaborate with researchers to develop and refine benchmarks from undergraduate through Masters level
Who You Are
Currently pursuing or have completed a Master's degree in Physics, Applied Physics, or a closely related field
Strong command of advanced physics concepts and mathematical problem-solving
Able to communicate complex reasoning clearly and precisely in writing
Detail-oriented with a systematic approach to evaluating solutions
Self-motivated and comfortable working independently and asynchronously
No prior AI experience required
Nice to Have
Experience in academic tutoring, research, or technical writing
Familiarity with data annotation, evaluation systems, or quality assessment workflows
Exposure to computational or applied physics methods
Why Join Us
Work on cutting-edge AI projects with top-tier research labs and AI organizations
Fully remote and flexible — set your own schedule and work from anywhere
Freelance perks: high autonomy, variety of problems, and global collaboration
Directly influence how AI reasons through complex scientific challenges
Potential for ongoing work and contract renewals as new projects launch

Work arrangement
Yes