STEM Expert (MSc./PhD)

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:

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.

Required Qualifications

1. Strong expertise inat least one relevant STEM or scientific domain.
2. Practical proficiency withPython or other coding languages.
3. 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

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.
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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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About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

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