About the Opportunity

This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workflows. Candidates need deep expertise in at least one relevant scientific or quantitative field; expertise across all STEM disciplines is not required.

Type: Contractor (Part-Time, approximately 15 hours/week)

Key Responsibilities

• Solve complex scientific, mathematical, and technical problems within your area of expertise.
• Review AI-generated solutions for scientific, mathematical, and factual accuracy.
• Identify incorrect assumptions, reasoning errors, and overlooked constraints.
• Use Python or other programming languages for calculations, simulations, and validation.
• Provide rigorous, technically accurate solutions and feedback.

Required Qualifications

• Strong expertise in at least one STEM field, such as chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics.
• Practical proficiency in Python or another programming language.
• Strong scientific, mathematical, or quantitative problem-solving skills.
• Experience using coding agents in technical workflows.

Preferred Qualifications

• Familiarity with scientific tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or relevant domain-specific libraries.
• Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work.

Approximately 15 hours per week with a flexible schedule.

Immediate availability preferred; first task expected within 24–48 hours after onboarding.

• Solve complex scientific, mathematical, and technical problems within your area of expertise.
• Review AI-generated solutions for scientific, mathematical, and factual accuracy.
• Identify incorrect assumptions, reasoning errors, and overlooked constraints.
• Use Python or other programming languages for calculations, simulations, and validation.
• Provide rigorous, technically accurate solutions and feedback.

• Practical proficiency in Python or another programming language
• Strong scientific, mathematical, or quantitative problem-solving skills
• Experience using coding agents in technical workflows
• Familiarity with NumPy, SciPy, pandas, SymPy, Jupyter, or relevant domain-specific libraries

• Strong expertise in at least one STEM field, such as chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics.
• Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work.