Physics Subject Matter Expert — AI Benchmarking (Remote)

Alignerr Corp.

Sydney

Remote

AUD 69,000 - 109,000

Part time

43 hours ago
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Benefits offered by this job

Location-independent flexibility
Direct engagement with LLMs
High agency and agility
Renewal opportunities

Job summary

Alignerr is seeking a Physics Subject Matter Expert - AI Content Specialist to work remotely on an hourly contract. Design advanced physics problems to test AI performance and develop rigorous step-by-step solutions for benchmarking AI systems.

You will evaluate AI outputs and collaborate with researchers to improve benchmarks across undergraduate to Masters-level physics topics. This remote, part-time contract offers flexible weekly hours (10–40 hours/week) and competitive compensation, with no

Qualifications

  • Masters (pursuing or completed) in Physics, Applied Physics or a related field.
  • Strong physics reasoning and problem-solving skills across advanced domains.
  • Ability to communicate complex ideas clearly in writing and provide structured feedback.
  • No AI experience required.

Responsibilities

  • Design advanced physics problems to test AI performance (mechanics, electromagnetism, thermodynamics).
  • Develop clear, step-by-step solutions with rigorous logic.
  • Evaluate AI outputs for accuracy and quality of reasoning.
  • Collaborate with researchers to refine benchmarks across undergraduate to Masters-level physics topics.

Skills

Physics reasoning
Problem solving
Written communication
Attention to detail

Education

Masters in Physics

Job description

Alignerr is seeking a Physics Subject Matter Expert - AI Content Specialist to work remotely on an hourly contract. Design advanced physics problems to test AI performance and develop rigorous step-by-step solutions for benchmarking AI systems.

You will evaluate AI outputs and collaborate with researchers to improve benchmarks across undergraduate to Masters-level physics topics. This remote, part-time contract offers flexible weekly hours (10–40 hours/week) and competitive compensation, with no

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