Applied Physics

Stellenbeschreibung:

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

Organization: Alignerr

Position: Applied Physics - AI Data Trainer

Type: Hourly Contract

Compensation: $40–$80 /hour

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. 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.

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Stelleninformationen

  • Veröffentlichungsdatum:

    21 Mär 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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