Applied Physics - AI Data Trainer

Alignerr Corp.; Remote; GBP 40,000 - 60,000; Part time

Job summary

A cutting-edge AI company is seeking a remote Applied Physics - AI Data Trainer to develop complex physics problems and evaluate AI reasoning. Ideal candidates will hold a PhD or be nearing completion in Applied Physics or a related field. Responsibilities include designing advanced problems, creating rigorous solutions, and auditing AI simulations. The role offers competitive pay starting at $40/hour with flexible hours, and applicants are encouraged to have strong analytical writing skills and attention to detail.

Benefits

Competitive pay

Flexible remote work

Collaboration on cutting-edge AI projects

Qualifications

• PhD completed or in final stages in Applied Physics or a closely related field.
• Mastery of Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.
• Exceptional ability to explain complex physical phenomena clearly.

Responsibilities

• Design advanced, open-ended physics problems requiring logical reasoning.
• Create detailed 'golden responses' to ensure rigorous solutions.
• Evaluate AI-generated simulations for physical consistency.

Skills

Analytical Writing

Attention to Detail

Physics Knowledge

Education

PhD in Applied Physics or related field

Tools

MATLAB

COMSOL

Python (NumPy/SciPy)

Job description

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

• Location: Remote

We are seeking PhD-level Applied Physicists to challenge Large Language Models on their understanding of the physical world. You will work on university-level and research-level benchmarks in topics like quantum mechanics, electromagnetism, and thermodynamics. Your goal is to document failure modes in AI reasoning so we can ensure models respect the fundamental laws of the universe, such as conservation of energy and momentum. Work on high-impact projects while earning $40+/hour, fully remote, with flexible weekly hours.

Organization: Alignerr Position: Applied Physics - AI Data Trainer Type: Hourly Contract Compensation: $40–$80 /hour Location: Remote Commitment: 10–40 hours/week

What You’ll Do

• Develop Complex Problems: Design advanced, open-ended physics problems (equivalent to PhD qualifying exams) that require multi-step logical reasoning and mathematical derivation.
• Author Ground-Truth Solutions: Create "golden responses" that provide rigorous, step-by-step solutions, ensuring that every physical constant and unit conversion is perfect.
• Technical Auditing: Evaluate AI-generated simulations and proofs for physical consistency. You will identify where a model "hallucinates" physics that violates first principles.
• Refine Reasoning: Provide structured feedback to improve the model’s ability to perform "Physics-Informed" reasoning, helping it understand constraints like boundary conditions and conservation laws.

Requirements

• Advanced Degree: PhD (completed or in the final stages) in Applied Physics, Physics, or a closely related field (e.g., Engineering Physics).
• Domain Expertise: Mastery of the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.
• Analytical Writing: Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English.
• Precision: An uncompromising eye for detail regarding units, scientific notation, and the logical flow of a proof.
• No AI experience required.

Preferred

• Prior experience with data annotation, data quality, or evaluation systems for scientific datasets.
• Experience with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy).

Why Join Us

• Competitive pay and flexible remote work.
• Collaborate with a team working on cutting-edge AI projects.
• Exposure to advanced LLMs and how they’re trained.
• Freelance perks: autonomy, flexibility, and global collaboration.
• Potential for contract extension.

Application Process (Takes 15-20 min)

• Submit your resume.
• Complete a short screening.
• Project matching and onboarding.

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.