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Open nowFirst seen 6 days ago

STEM Expert

ESRhealthcare and EXEC STAFF RECRUITERS1,405 open roles

Pay
$50 – $100 an hour
Where
NYC, New York, United States, Remote
Work mode
Remote
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Your applicationOpen nowSTEM ExpertESRhealthcare and EXEC STAFF RECRUITERS · NYC, New York, United States, Remote
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  6. 58.0%60 days
This job: first seen 6 days ago

The posting

STEM Expert

https://jobs.micro1.ai/post/46d40ceb-c9b5-4b76-a595-6d74ecf7107e?referralCode=1761f2a1-0970-4c4f-a273-a1b557d5ad9f&utm_source=referral&utm_medium=share&utm_campaign=job_referral

STEM Expert

$50 - $100/hour

pay

Required Skills

Biology

Pay: $50–$100/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.

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

Linguistics / Computational Linguistics

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.

Develop clear and reproducible reference solutions.

Use

Python

for scientific computation, data analysis, simulations, or solution validation.

Interpret equations, experimental results, datasets, technical diagrams, or scientific literature where relevant.

Perform sanity checks and validate numerical or analytical results.

Compare alternative solution approaches and determine whether conclusions are supported by the evidence.

Clearly explain technical reasoning and corrections.

Required Qualifications

Strong expertise in

at least one relevant STEM or scientific domain

.

Practical proficiency with

Python

.

Strong scientific, mathematical, or quantitative problem-solving ability.

Ability to reason carefully about assumptions, constraints, edge cases, and sources of error.

Ability to explain complex technical concepts and solutions clearly.

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.

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