Applied Physics Specialist

Alignerr Corp.; Boston (MA); Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Remote work

Flexible hours

Freelance autonomy

Job summary

Alignerr seeks an Applied Physics Specialist (AI Training) to design rigorous physics problems and validate AI reasoning. This fully remote hourly contract invites PhD-level researchers to craft multi-step quantum, EM, thermodynamics problems and provide airtight golden solutions.

You'll audit model outputs, refine behavior under conservation laws, and document failure modes for physics benchmarks. 10–40 hours/week, flexible schedule.

Qualifications

• PhD completed (or near completion) in Applied Physics or a closely related field.
• Deep mastery of Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.
• Ability to explain complex physics with precise mathematical derivations.

Responsibilities

• Design PhD-level physics problems spanning QM, EM, thermodynamics, and classical mechanics.
• Author ground-truth step-by-step solutions with precise constants and conversions.
• Audit AI reasoning for physical consistency and first-principles compliance.

Skills

Classical Mechanics

Electrodynamics

Statistical Mechanics

Quantum Mechanics

Clear scientific communication

Education

PhD in Applied Physics or related field

Tools

Python (NumPy/SciPy)

MATLAB

COMSOL

Job description

Applied Physics Specialist (AI Training)

About The Role

What if your years of physics training could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to put cutting-edge Large Language Models through their paces - designing rigorous problems, exposing flawed reasoning, and helping ensure that AI respects the fundamental laws of the universe.

This is a fully remote, flexible contract role built for working researchers and academics. No prior AI experience needed - just deep, hard-earned expertise in physics and a sharp eye for where reasoning breaks down.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Physics Problems - Craft PhD qualifying exam-level problems spanning quantum mechanics, electromagnetism, thermodynamics, and classical mechanics that require multi-step reasoning and rigorous mathematical derivation
• Author Ground-Truth Solutions - Produce precise, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is airtight
• Audit AI Reasoning - Evaluate AI-generated solutions and proofs for physical consistency, identifying where models "hallucinate" physics that violates first principles
• Refine Model Behaviour - Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physics-informed constraints
• Document Failure Modes - Systematically catalogue how and why AI models break down on research-level physics benchmarks

Who You Are

• PhD completed (or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured prose
• Uncompromising precision with units, scientific notation, dimensional analysis, and logical proof structure
• Self-directed and reliable when working independently on task-based assignments
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in writing research papers, problem sets, or technical documentation
• Familiarity with AI/ML concepts or large language model behaviour

Why Join Us

• Work directly with leading AI research labs on genuinely high-impact projects
• Fully remote and flexible - structure your hours around your existing research or academic commitments
• Freelance autonomy: choose your workload, work asynchronously, and collaborate globally
• Gain rare, first-hand exposure to how frontier AI models are trained and evaluated
• Meaningful work that ensures AI reasoning is grounded in real physics - not plausible-sounding nonsense
• Potential for ongoing work and contract extension as new projects launch