STEM Expert for AI Scientific Reasoning Evaluation

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain helps people find and build careers in AI training and data labeling, a fast-growing field where human experts help shape how advanced AI systems work.

Create an OpenTrain account, complete the application process, and apply in minutes for remote projects that match your expertise.

• Fully remote work available worldwide
• Contractor position with a flexible schedule
• Approximately 15 hours per week
• Posted compensation range of $50–$100 per hour

About AI Training and Technical Evaluation

AI training depends on skilled people who create, review, and evaluate examples used to improve modern AI models. For technical projects, experts assess whether model-generated answers are accurate, rigorous, and supported by sound scientific reasoning.

This work combines subject-matter expertise with careful evaluation. Contributors may solve challenging problems, identify errors in AI responses, and produce reference answers that help models perform more reliably.

• Contribute to cutting-edge AI development
• Work remotely with flexible hours
• Use your existing scientific or technical expertise
• Help improve the accuracy of AI-generated reasoning

The STEM Expert Role

OpenTrain is seeking highly skilled STEM and scientific-domain experts for an AI training project involving technical problem-solving, scientific reasoning, data analysis, and Python. You will solve, review, and validate challenging problems within your area of expertise.

A representative task may involve analyzing a scientific or mathematical problem, developing a rigorous solution, using Python for calculations or simulations, and evaluating whether an AI-generated answer is technically correct. You are not expected to be an expert in every STEM discipline; deep expertise in at least one relevant area is the priority.

• Biology
• Chemistry
• Mathematics
• Physics
• Earth science, geoscience, or environmental science
• Linguistics or computational linguistics
• Robotics
• Adjacent scientific or quantitative disciplines may also be considered

What You’ll Work On

Your work will focus on text-based labeling and evaluation tasks that require precise technical judgment. You will explain your reasoning clearly and determine whether proposed solutions are correct, complete, and supported by the available evidence.

• Solve complex scientific, mathematical, or technical problems within your domain
• 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 approaches and assess whether conclusions are supported by evidence
• Explain technical reasoning and corrections clearly

Required Qualifications

You should have strong expertise in at least one relevant STEM or scientific domain, along with practical Python proficiency. Expertise may come from academic research, industry, teaching, engineering, independent technical work, or another demonstrated source of experience.

A specific degree or number of years of experience is not strictly required when you can demonstrate strong expertise in your field. No particular Python library is mandatory, though relevant tools may include NumPy, SciPy, pandas, SymPy, Jupyter, or domain-specific scientific libraries.

• Strong expertise in at least one relevant STEM or scientific domain
• Practical proficiency with Python
• Strong scientific, mathematical, or quantitative problem-solving ability
• Careful reasoning 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
• Experience with text-labeling workflows
• Experience with evaluation-rating tasks
• Fluent English proficiency

Schedule, Duration, and Compensation

This is a part-time contractor opportunity requiring less than 20 hours per week, with an expected commitment of approximately 15 hours weekly. You choose the hours and days you work, including weekends if desired.

The project is expected to last under one month. Compensation is output-based: experts are paid per task that meets project specifications. The time required for each task may vary depending on experience and workflow, and minimum submission requirements apply. The listed compensation range is $50–$100 per hour.

• Global and fully remote
• Flexible hours and days
• Less than 20 hours per week
• Expected project duration under one month
• English-language work
• Output-based payment per task
• $50–$100 per hour listed compensation range

Application and Start Process

The selection process begins with an application and screening questions. Candidates then complete an approximately 30-minute AI interview followed by a hiring manager review.

Roles are typically filled within 48 hours. Selected experts should be ready to begin their first task within 24–48 hours after completing onboarding.

• Apply to the role and complete screening questions
• Complete an approximately 30-minute AI interview
• Complete hiring manager review
• Begin the first task within 24–48 hours of onboarding if selected