Postdoctoral Research Scientist – STEM (Remote | $80–$150/hr)

Synthires; United States; On-site; USD 110,000 - 207,000; Full time

Benefits offered by this job

Output-based compensation

Flexible schedule

Job summary

Synthires seeks experienced STEM and Scientific Experts to support an AI training project focused on technical problem-solving, scientific reasoning, data analysis, and Python-based workflows.

You will solve, review, and validate challenging problems, evaluate AI-generated solutions, and develop rigorous reference answers. This is a coding-heavy role requiring Python and coding agents in your workflow.

Qualifications

• Strong expertise in at least one STEM or scientific domain.
• Proficient in Python and coding agents for scientific workflows.
• Strong mathematical, analytical, or quantitative problem-solving abilities.
• Ability to evaluate assumptions, edge cases, and sources of error.
• Experience validating, reviewing, or troubleshooting technical work.
• Ability to communicate complex technical concepts clearly.

Responsibilities

• Solve complex scientific, mathematical, or technical problems within your domain.
• Review AI-generated solutions for scientific, mathematical, and factual accuracy.
• Identify reasoning errors, missing constraints, and technical mistakes.
• Develop clear and reproducible reference solutions.
• Use Python for scientific computation, data analysis, simulations, and validation.
• Interpret equations, datasets, results, diagrams, and literature as needed.
• Perform sanity checks and validate results.
• Explain technical reasoning, corrections, and conclusions clearly.

Skills

Python

Coding agents

STEM expertise

Analytical thinking

Technical communication

Tools

NumPy

SciPy

pandas

SymPy

Jupyter

Job description

We are seeking experienced STEM and Scientific Experts to support an AI training project focused on technical problem-solving, scientific reasoning, data analysis, and Python-based workflows.

You’ll solve, review, and validate challenging problems within your area of expertise, evaluate AI-generated solutions, and develop rigorous reference answers. This is a coding-heavy role, and candidates must have experience using Python and coding agents in their workflow.

Expertise in at least one STEM discipline is sufficient; candidates are not expected to cover every scientific field.

Key Responsibilities

• Solve complex scientific, mathematical, or technical problems within your domain.
• Review AI-generated solutions for scientific, mathematical, and factual accuracy.
• Identify reasoning errors, incorrect assumptions, missing constraints, and technical mistakes.
• Develop clear and reproducible reference solutions.
• Use Python for scientific computation, data analysis, simulations, and validation.
• Interpret equations, datasets, experimental results, technical diagrams, and scientific literature where relevant.
• Perform sanity checks and validate analytical or numerical results.
• Clearly explain technical reasoning, corrections, and conclusions.

Required Qualifications

• Strong expertise in at least one relevant STEM or scientific domain, such as Biology, Chemistry, Mathematics, Physics, Earth/Environmental Science, or Robotics.
• Practical proficiency with Python and coding agents.
• Strong scientific, mathematical, or quantitative problem-solving skills.
• Ability to evaluate assumptions, constraints, edge cases, and sources of error.
• Experience validating, reviewing, or troubleshooting technical work.
• Ability to communicate complex technical concepts clearly.

Preferred Qualifications

• Experience with scientific Python tools such as NumPy, SciPy, pandas, SymPy, or Jupyter.
• Background in academic research, industry, teaching, engineering, or independent technical work.
• Experience evaluating AI-generated technical or scientific outputs.

Compensation

• Competitive compensation of $80–$150/hour.
• Output-based compensation, with payment per task that meets project specifications.
• Approximately 15 hours per week with a flexible schedule.
• Experts can choose their working hours and days, including weekends.