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Pod lead - Physics; Terminal Bench Science

Job in Houston, Harris County, Texas, 77001, USA
Listing for: Zettamine Labs
Full Time, Part Time position
Listed on 2026-11-01
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, AI Evaluation, Physics
Salary/Wage Range or Industry Benchmark: 96000 - 165000 USD Yearly USD 96000.00 165000.00 YEAR
Job Description & How to Apply Below
Position: Pod lead - Physics (Terminal Bench Science)

Hello,

Greetings from Zetta Mine!!!

Freelancing Opportunity: We are hiring a POD Lead Physics Expert (Terminal Bench Science) for a short-term Frontier AI Research, Scientific Computing & AI Model Evaluation initiative.

Location: India
Role: POD Lead Physics Expert (Terminal Bench Science)
Mode: Remote-Freelancing
Start Date: Expected next week
Contract Duration: 3 Weeks
Employment Type: Contractor assignment (no paid leave)

Educational Eligibility:PhD, postdoctoral experience, or equivalent advanced research

experience in Physics or a closely related field.

Mandatory Eligibility Criteria
  • Strong programming skills in Python, C/C++, Julia, or Fortran.
  • Proficiency in Linux and terminal environments.
  • Hands-on experience in computational physics, scientific simulation, or physics data analysis.
  • Strong understanding of numerical methods, mathematical modeling, conservation laws, dimensional consistency, and uncertainty analysis.
  • Experience reviewing scientific code, computational models, or research outputs.
  • Ability to validate simulation results, numerical convergence, physical in variants, and reproducibility.
  • Experience mentoring technical teams and reviewing technical deliverables.
  • Excellent written communication and technical documentation skills.
Preferred Qualifications
  • Familiarity with QuTiP, Qiskit, Kwant, ITensor, ROOT, Geant4, Astropy, Dedalus, or MEEP.
  • Experience with Docker, Git, CI systems, and automated testing.
  • Experience designing scientific benchmarks or simulation-based evaluations.

    Prior experience in AI training, AI coding agent evaluation, or AI model assessment.
Key Responsibilities
  • Lead and mentor a pod of approximately 510 technical trainers.
  • Review scientific tasks, simulation inputs, datasets, reference solutions, and automated graders.
  • Ensure physical correctness, numerical accuracy, and reproducibility.
  • Validate unit consistency, conservation laws, solver convergence, and uncertainty tolerances.
  • Identify technical errors and prevent hard-coded outputs or bypassed computations.
  • Provide actionable feedback and track revisions through completion.
  • Allocate work, monitor quality, resolve blockers, and maintain technical documentation.
Availability Requirements
  • Minimum 40 hours per week
    .
  • At least 4 hours of availability per day
    .
  • Minimum 4 hours of overlap with PST business hours
    .

Thanks & Regards,
Karthik K
Zetta Mine

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