Geoscience Expe - Remote

YO AI Labs; New York (NY); Remote; USD 55,000 - 110,000; Full time

Job summary

YO AI Labs is seeking STEM and scientific-domain experts for a remote, contractor role to support AI training through complex problem solving and data analysis. You will code in Python, build calculations and simulations, and assess AI-provided technical solutions.

Applicants should have strong analytical and quantitative reasoning, experience with coding agents, and familiarity with scientific libraries. The work is flexible, globally remote, and requires readiness to start quickly.

Qualifications

• Strong expertise in at least one STEM discipline.
• Practical programming experience, preferably with Python.
• Experience using coding agents in your workflow.
• Familiarity with NumPy, SciPy, pandas, SymPy, or Jupyter is beneficial.

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.

Skills

Python programming

Analytical reasoning

Coding agents

Scientific problem solving

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.

Selection Process

1. Submit an application and complete screening questions.
2. Complete an approximately 30-minute AI interview.
3. Complete the hiring manager review.

Availability

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