Applied Physics Specialist - AI Content Evaluator

Alignerr

Atlanta (GA)

On-site

USD 138,000 - 248,000

Full time

14 days+
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Benefits offered by this job

Competitive pay
Flexible remote work
Autonomy and flexibility
Global collaboration

Job summary

A leading AI research collaboration in Atlanta is seeking a specialist to develop advanced physics problems and rigorously evaluate AI-generated solutions. Applicants must have a PhD or be near completion in Applied Physics or a related field, showcasing mastery in core physics concepts. The role offers competitive pay and flexible remote work, making it an exciting opportunity for experts looking to contribute to cutting-edge AI projects.

Qualifications

  • Exceptional ability to explain complex physical phenomena.
  • Mastery of Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.
  • Uncompromising attention to detail regarding units and scientific notation.
  • No AI experience required.

Responsibilities

  • Design advanced physics problems that require multi-step logical reasoning.
  • Create step-by-step solutions ensuring perfect physical constants.
  • Evaluate AI-generated simulations for physical consistency.
  • Provide structured feedback to improve physics-informed reasoning.

Skills

Analytical Writing
Attention to detail
Physics expertise

Education

PhD in Applied Physics, 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.

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

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