Remote STEM Expert for AI Problem Solving (Contract)

Synthires

United States

Remote

USD 83,000 - 165,000

Part time

2 hours ago
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Job summary

Synthires is seeking a STEM Expert (MSc/PhD) for a remote, contract-based role. The position is part-time, approximately 15 hours per week, with flexible scheduling and immediate onboarding. Compensation is $60–$120 per hour.

You will apply deep expertise in a scientific or quantitative field to solve advanced problems, review AI-generated solutions, and validate results using Python and related tools. Prior experience with coding agents in technical workflows is preferred.

Qualifications

  • Strong expertise in at least one STEM field.
  • Practical proficiency in Python or another programming language.
  • Strong scientific, mathematical, or quantitative problem-solving skills.
  • Experience using coding agents in technical workflows.
  • MSc or PhD required (or equivalent).
  • Familiarity with NumPy/SciPy/Pandas/Jupyter is a plus.

Responsibilities

  • Solve complex scientific, mathematical, and technical problems within your area of expertise.
  • Review AI-generated solutions for scientific, mathematical, and factual accuracy.
  • Identify incorrect assumptions, reasoning errors, and overlooked constraints.
  • Use Python or other programming languages for calculations, simulations, and validation.
  • Provide rigorous, technically accurate solutions and feedback.

Skills

STEM expertise
Python proficiency
Problem-solving
Coding agents experience

Education

MSc or PhD

Tools

NumPy
SciPy
Pandas
SymPy
Jupyter

Job description

Synthires is seeking a STEM Expert (MSc/PhD) for a remote, contract-based role. The position is part-time, approximately 15 hours per week, with flexible scheduling and immediate onboarding. Compensation is $60–$120 per hour.

You will apply deep expertise in a scientific or quantitative field to solve advanced problems, review AI-generated solutions, and validate results using Python and related tools. Prior experience with coding agents in technical workflows is preferred.

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