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

Synthires

India

On-site

INR 10,679,000 - 20,023,000

Part time

2 days ago
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Job summary

Synthires is 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. This is a coding-heavy role where you will solve, review, and validate challenging problems, evaluate AI-generated solutions, and develop rigorous reference answers.

Flexible schedule, approximately 15 hours per week, with payment per task.

Qualifications

  • Strong expertise in at least one STEM domain such as Biology, Chemistry, Mathematics, Physics, Earth/Environmental Science, or Robotics.
  • Proficiency with Python and coding agents.
  • Strong scientific, mathematical, or quantitative problem-solving abilities.
  • 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.

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.

Skills

STEM domain expertise
Python programming
Quantitative problem-solving
Critical evaluation
Technical validation
Clear 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.
Application Process
  • Submit your application and complete the screening questions.
  • Complete an approximately 30-minute AI interview.
  • Complete the hiring manager review.
  • Complete onboarding and begin project work if selected.
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