Get your free practice interview for this role
micro1 screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Data Annotator. It covers:
Here’s your practice interview
Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.
Step 2: when you feel ready, apply.
The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our free micro1 interview guide.
Apply for this role
You apply on micro1's own site. It’s free, and you can apply even if you skip the practice.
Who this role suits
Experienced professionals who want flexible remote projects that use their industry know-how.
Full job description
STEM Expert
Pay: $60–$120/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 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:
- Chemistry
- Biology
- Mathematics
- Physics
- Earth Science / Geoscience / Environmental Science
- Robotics
Adjacent scientific or quantitative disciplines may also be considered where the candidate's expertise is directly relevant.
What You’ll Work On
- Solve complex scientific, mathematical, or technical problems within your domain of expertise.
- Review AI-generated solutions for factual, mathematical, and scientific correctness.
- Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.
Required Qualifications
- Strong expertise in at least one relevant STEM or scientific domain.
- Practical proficiency with Python or other coding languages.
- Strong scientific, mathematical, or quantitative problem-solving ability.
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
- Apply to the role and complete the screening questions.
- Complete an AI interview of approximately 30 minutes.
- 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.
Last checked open on Oct 28, 2026. Job description provided by micro1.
Something not working? Tell us
If the practice interview or the apply link doesn’t open, or the job looks closed, let us know and we’ll fix it.
Thanks, we got it. We’ll check this job’s links and reply by email if you left one.