Anyone Ai

Physics Expert - AI Trainer (Portugal)

Liboa, Lisboa, Portugal · Remote (restrictions not stated) · PartTime

USD 40–40/hour

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerAnyone Ai
LocationLiboa, Lisboa, Portugal
Work styleRemote (restrictions not stated)
Employment typePartTime
Employer posted3 months ago
Salary (as stated by the employer)USD 40 – 40 per hour

Location: Remote

Type: Contract / Part-time

Commitment: 20 to 40 hours per week

Compensation: Up to 40 USD / hr

Project duration: 2 months, with potential extension

About the role

We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.

We are looking for experts in Physics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.

What you’ll do

Design advanced physics problems for frontier AI training and evaluation

Create deterministic problems with exactly one correct answer

Write complete, verified solutions and clearly document the reasoning process

Show full description

Develop problems that test deep physical reasoning and multi-step analysis, not just memorization

Where relevant, use Python or specialized tools to build simulations, models, or computational workflows

Ensure all outputs are technically precise, reproducible, and well-written in English

What we’re looking for

Master’s, or PhD in Physics or a closely related field

Strong research or industry experience involving theoretical, experimental, or computational physics

Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar

Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving

Ability to design original, difficult problems that reflect real physics workflows

Excellent attention to detail and technical writing skills in English

Nice to have

Experience with simulation tools or domain-specific physics software (e.g., finite element tools, circuit simulators, symbolic systems)

Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields

Experience evaluating model reasoning, benchmarking, or designing technical assessments

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