YO AI Labs

Environmental Science Expert - Remote

United States remote Mid $60 - $120
remote Mid level Technology & IT Salary listed Curated
Sign in to apply Free account — we bring you straight back to this role.

Check location eligibility. Remote describes how the work is done; it does not necessarily mean applications are accepted worldwide. Check the location and residency requirements in this listing before applying.

About the role

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

Interview prep

Walk in with sharper answers.

Use these suggested prompts to prepare. They are not questions supplied by the employer.

Mid
Technology & IT Data Analysis Python Remote Collaboration Mid level remote

Practice questions

  1. Tell us about work you have done that is close to the Environmental Science Expert - Remote role.
  2. How would you approach your first 30 days at YO AI Labs?
  3. Which of Data Analysis, Python and Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Python and Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Environmental Science Expert - Remote role at YO AI Labs. My relevant experience is [your example], where I [your action] and achieved [your result].

Related jobs.

More roles from this company or category.