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.
Applied Physics - AI Data Trainer
Location: Remote | Type: Hourly Contract | Compensation: $40–$80 /hour | Commitment: 10–40 hours/week
What You’ll Do
* Design advanced, open‑ended physics problems equivalent to PhD qualifying exams that require multi‑step logical reasoning and mathematical derivation.
* Create “golden responses” that provide rigorous, step‑by‑step solutions, ensuring that every physical constant and unit conversion is perfect.
* Evaluate AI‑generated simulations and proofs for physical consistency, identifying where a model “hallucinates” physics that violates first principles.
* Provide structured feedback to improve the model’s ability to perform physics‑informed reasoning, helping it understand constraints such as 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.
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