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STEM Expert

$80–$150/h

Global, fully remote

Role overview

STEM Expert

Pay: $80–$150/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired


We are looking for highly skilled STEM and scientific-domain experts to contribute to an AI training project involving technical problem-solving, scientific reasoning, data analysis, and Python.


The work involves solving, reviewing, and validating challenging problems within your area of expertise. A representative task may require analyzing a scientific or mathematical problem, developing a rigorous solution, using Python to perform calculations or simulations, and evaluating whether an AI-generated answer is technically correct.


This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.


Candidates are not expected to be experts across every STEM discipline. We are looking for deep expertise in at least one of the following areas:

  1. Chemistry
  2. Biology
  3. Mathematics
  4. Physics
  5. Earth Science / Geoscience / Environmental Science
  6. Robotics


Adjacent scientific or quantitative disciplines may also be considered where the candidate's expertise is directly relevant.


What You’ll Work On


  1. Solve complex scientific, mathematical, or technical problems within your domain of expertise.
  2. Review AI-generated solutions for factual, mathematical, and scientific correctness.
  3. Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.
  4. Develop clear and reproducible reference solutions.
  5. Use Python for scientific computation, data analysis, simulations, or solution validation.
  6. Interpret equations, experimental results, datasets, technical diagrams, or scientific literature where relevant.
  7. Perform sanity checks and validate numerical or analytical results.
  8. Compare alternative solution approaches and determine whether conclusions are supported by the evidence.
  9. Clearly explain technical reasoning and corrections.


Required Qualifications

  1. Strong expertise in at least one relevant STEM or scientific domain.
  2. Practical proficiency with Python.
  3. Strong scientific, mathematical, or quantitative problem-solving ability.
  4. Ability to reason carefully about assumptions, constraints, edge cases, and sources of error.
  5. Ability to explain complex technical concepts and solutions clearly.
  6. Experience validating, reviewing, or troubleshooting technical work.


Relevant Python tools may include NumPy, SciPy, pandas, SymPy, Jupyter, or domain-specific scientific libraries. No particular Python library is mandatory.


Expertise may come from academic research, industry, teaching, engineering, independent technical work, or other demonstrated experience. A specific degree or number of years of experience is not strictly required if you can demonstrate strong expertise in your field.


Process

  1. Apply to the role and complete the screening questions.
  2. Complete an AI interview of approximately 30 minutes.
  3. Complete the hiring manager review.


Compensation Structure


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 the expert’s experience and workflow.

Minimum submission requirements apply.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

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Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Sporterer Insights · Approximate figures based on World Bank and ILO estimates
Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →