Physics Master's - Empower AI with Your Physical Insight

Location: Remote | Type: Contract | Hours: Up to 40 hrs possible

Talex.ai is building the expert workforce layer for the AI future — connecting top domain professionals with frontier AI teams to deliver high-quality, human-aligned data at scale. We combine a talent marketplace, smart task routing, and agent-powered infrastructure to improve how AI systems learn and evolve.

We’re not automating humans. We’re empowering experts. At Talex.ai, your expertise drives AI that truly understands complex physical concepts.

We are seeking Physics Master's graduates to collaborate on projects that involve designing and developing challenging physical problems for training state-of-the-art large language models. This role is ideal for individuals who want to directly influence AI reasoning and problem-solving in physics.

• Problem Development: Create high-quality, complex physical problems that challenge AI reasoning.
• Solution Verification: Ensure all problems and solutions are accurate, logically sound, and conceptually rigorous.
• Difficulty Scaling: Refine problems across varying complexity levels, maintaining engagement and challenge.
• Real-World Application: Design questions that reflect realistic physical scenarios and avoid trivial or overly theoretical prompts.
• Quality Assurance: Review AI outputs for correctness, consistency, and clarity.

• Master’s degree in Physics from a top university.
• Strong problem-solving and analytical skills.
• Exceptional attention to detail and ability to work independently.
• Excellent written and verbal communication in English.
• Ability to work in a fully remote, asynchronous environment.

Bonus Points If You:

• Have experience creating educational or competition-level physical problems.
• Have worked with AI/ML projects or data annotation.

• High-impact work: Directly shape AI’s understanding of physics at an advanced level.
• Global collaboration: Work asynchronously with top-tier physicists and domain experts worldwide.
• Flexible schedule: Contribute 10–20 hours per week (up to 40 hours possible) from anywhere.
• Empowerment over automation: Your expertise isn’t being replaced — it’s defining the next frontier of AI.