AI training contract
STEM Expert (MSc./PhD)
Other · Advertised USD 60-120 an hour. · 10 openings
STEM Expert (MSc./PhD) is contract work for micro1, reviewing and correcting what AI models produce in other. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. micro1 advertises USD 60 to USD 120 an hour. It also states that pay is output based, paid per task that meets the project specifications, so the hourly figure is an advertised equivalent and not a guaranteed wage.
Where. The listing says this role is global and fully remote. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, and Ethiopia. That rule comes from micro1's own FAQ at www.micro1.ai/experts, read on 2026-10-05. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 10 openings on this role.
Skills named: Biology.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
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.
All AI training roles we track · Every micro1 opportunity with filters
Rate, openings and requirements checked 2026-10-19 against micro1's own public postings.