Micro1
Micro1Verified listing
RemoteHot

STEM Expert (MSc./PhD)

60–120/hr
Remote
Posted October 16, 2026
contract
10 openings
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Listing checked October 16, 2026 · pay as published by Micro1

Overview

micro1 seeks STEM and scientific-domain experts for an AI training project that centers on technical problem-solving, scientific reasoning, data analysis, and Python. You will solve, review, and validate challenging problems in your area of expertise. A typical task might involve analyzing a scientific or mathematical problem, building a rigorous solution, using Python to run calculations or simulations, and judging whether an AI-generated answer is technically correct. This is a coding-heavy role, so experience using coding agents in your workflow is required. You need deep expertise in at least one of these areas: Chemistry, Biology, Mathematics, Physics, Earth Science/Geoscience/Environmental Science, or Robotics. Adjacent scientific or quantitative disciplines may also be considered when your expertise is directly relevant.

What You'll Do8

  • 1Solve complex scientific, mathematical, or technical problems within your domain of expertise.
  • 2Review AI-generated solutions for factual, mathematical, and scientific correctness.
  • 3Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.
  • 4Use Python to perform calculations, simulations, or data analysis as part of problem-solving.
  • 5Validate whether an AI-generated answer meets technical and scientific standards.
  • 6Apply coding agents in your workflow to support task completion.
  • 7Meet minimum submission requirements for each task.
  • 8Start your first task within 24–48 hours of completing onboarding.

Requirements9

  • 1Strong expertise in at least one relevant STEM or scientific domain.
  • 2Practical proficiency with Python or other coding languages.
  • 3Strong scientific, mathematical, or quantitative problem-solving ability.
  • 4Experience using coding agents in your workflow.
  • 5Familiarity with Python tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or domain-specific scientific libraries is helpful, though no particular library is mandatory.
  • 6Expertise may come from academic research, industry, teaching, engineering, independent technical work, or other demonstrated experience.
  • 7A specific degree or number of years of experience is not strictly required if you can demonstrate strong expertise in your field.
  • 8Deep expertise in at least one of the following: Chemistry, Biology, Mathematics, Physics, Earth Science/Geoscience/Environmental Science, or Robotics.
  • 9Adjacent scientific or quantitative disciplines may also be considered where your expertise is directly relevant.

Who Should Apply

The ideal candidate holds an MSc or PhD in a STEM field and has deep expertise in at least one of these areas: Chemistry, Biology, Mathematics, Physics, Earth Science/Geoscience/Environmental Science, or Robotics. You should be comfortable with Python and coding agents, and able to solve, review, and validate complex technical problems. This role suits someone who can work independently and start within 24–48 hours of onboarding.

Salary Insight

Pay is $60–$120 per hour. Compensation is output-based: experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on your experience and workflow. Minimum submission requirements apply.

Pay and demand for AI Training roles

Aggregated

Typical pay

$70/hour

This role

$60–$120/hr

Most AI Training roles pay $42–$98 per hour. This role's pay falls inside that range.

Based on 1,068 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Location

TypeRemote
LocationRemote
This is a remote position

Compensation

$60–120/hr

Required Skills

Biology

Application Tip

In your application, highlight your deepest STEM domain and show concrete examples of using Python (e.g., NumPy, SciPy, pandas, SymPy, Jupyter) to solve or simulate technical problems. Mention any experience with coding agents in your workflow, and be ready to discuss how you validate AI-generated answers for correctness.

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