Remote Math Expert for AI Benchmarking (PhD)

Turing Enterprises, Inc.

Los Angeles (CA)

Remote

USD 114,000 - 162,000

Part time

4 days ago
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Benefits offered by this job

Fully remote
Flexible hours
AI project exposure

Job summary

Turing Enterprises, Inc. is offering a remote contract for PhDs in Mathematics, Statistics, or related fields to design and evaluate benchmarks for AI systems. You will craft advanced math problems, assess solutions, and collaborate with researchers on challenging benchmarks.

The role emphasizes rigorous reasoning, clear written feedback, and flexibility with weekly hours. Applicants with a PhD pursuing or completed are encouraged, no AI experience required, with competitive hourly pay.

Qualifications

  • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field.
  • Strong mathematical 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 math problems to test AI performance (multi-step reasoning, abstraction, symbolic manipulation).
  • 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 PhD-level math topics.

Skills

Mathematical reasoning
Problem solving
Written communication
Feedback ability

Education

PhD in Mathematics/Statistics

Job description

Turing Enterprises, Inc. is offering a remote contract for PhDs in Mathematics, Statistics, or related fields to design and evaluate benchmarks for AI systems. You will craft advanced math problems, assess solutions, and collaborate with researchers on challenging benchmarks.

The role emphasizes rigorous reasoning, clear written feedback, and flexibility with weekly hours. Applicants with a PhD pursuing or completed are encouraged, no AI experience required, with competitive hourly pay.

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