Geoscience Expe - Remote

YO AI Labs; United States; Remote; USD 55,000 - 83,000; Part time

Job summary

YO AI Labs is seeking STEM and scientific-domain experts to support AI training through complex problem solving, scientific reasoning, data analysis, and Python-based coding. This contractor role is globally remote and requires the ability to evaluate AI-generated technical solutions.

You will review AI outputs in chemistry, biology, mathematics, physics, and related fields, using Python for calculations, simulations, and data analysis.

Qualifications

• Expertise in at least one STEM discipline.
• Programming experience, preferably Python.
• Strong analytical, scientific and quantitative reasoning.
• Experience using coding agents in workflow.
• Familiarity with scientific libraries such as NumPy/SciPy/pandas is beneficial.

Responsibilities

• Solve complex scientific and mathematical problems within your expertise.
• Use Python 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.

Skills

STEM expertise

Python programming

Analytical reasoning

Coding agents experience

Tools

NumPy

SciPy

pandas

SymPy

Jupyter

Job description

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.

Availability

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