Jobs›Stem Expert

STEM Expert (MSc./PhD), Remote

Xperteez Technology · Work from home
Part timeWork from home
PayPay not listed
WhereWork from home
TypeContractMid-level
Posted8 Nov2 days ago, via Himalayas
Kaam checked
No fee, deposit or pay-to-apply signs
Day work
No vehicle or licence needed
Contract role
Skills they list5 named
STEM ExpertAI Training SpecialistScientistData ScientistTechnical Consultant
About this job

STEM Expert

Location
Global, fully remote
Job Type
Contract (~15 hours per week)
Schedule
Flexible, 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.

Originally posted on Himalayas

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