Environmental Science Expert - Remote

YO AI Labs - United States - original posting ->
Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
STEM-AI-Specialist, AI-Training-Specialist, Scientific-Programmer, Data-Analyst, Environmental-Science-Expert
Tech
pythonremote-country
Source
himalayas
First observed
2026-11-07 15:00 UTC
Last seen
2026-11-07 15:00 UTC
Source claims posted
2026-11-07 14:59 UTC
Consecutive misses
0 of 10

What the posting says

STEM & Scientific AI Expert

Location: Global, Fully Remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible

Job Summary

We are seeking STEM and scientific-domain experts to support AI training through complex problem-solving, scientific reasoning, data analysis, and Python-based coding. This is a coding-heavy role requiring experience with coding agents and the ability to evaluate AI-generated technical solutions.

Areas of Expertise

Chemistry, Biology, Mathematics, and Physics

Earth Science, Geoscience, and Environmental Science

Robotics and related scientific or quantitative fields

Key Responsibilities

Solve complex scientific and mathematical problems within your expertise.

Use Python or other programming languages for calculations, simulations, and data analysis.

Review AI-generated solutions for scientific and technical accuracy.

Identify reasoning errors, incorrect assumptions, and missing constraints.

Validate solutions against project requirements.

Required Qualifications

Strong expertise in at least one relevant STEM discipline.

Practical programming experience, preferably with Python.

Strong analytical, scientific, and quantitative reasoning skills.

Experience using coding agents in your workflow.

Familiarity with tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or relevant scientific libraries is beneficial.

Relevant expertise may come from academic research, industry, teaching, engineering, or independent technical work. A specific degree or minimum number of years of experience is not required if expertise can be demonstrated.

Selection Process

Submit an application and complete screening questions.

Complete an approximately 30-minute AI interview.

Complete the hiring manager review.

Availability

Candidates should be ready to start promptly, with the first task expected within 24–48 hours after onboarding.

Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #1800668 2026-11-07 15:00 UTC
    Published