STEM Expert (MSc./PhD), Remote

Xperteez Technology•,
•$60 - $120•Remote

About The Position

We are looking for highly skilled STEM and scientific-domain experts to contribute to an AI training project involving technical problem-solving, scientific reasoning, data analysis, and Python. The work involves solving, reviewing, and validating challenging problems within your area of expertise. Tasks may include analyzing scientific or mathematical problems, developing rigorous solutions, using Python to perform calculations or simulations, and evaluating whether AI-generated answers are technically correct. This is a very coding-heavy role, and candidates must have experience using coding agents in their workflow. Candidates are expected to have deep expertise in at least one relevant area, rather than across every STEM discipline. Relevant areas include chemistry, biology, mathematics, physics, earth science, geoscience, environmental science, and robotics. Adjacent scientific or quantitative disciplines may also be considered where expertise is directly relevant.

Requirements

  • Strong expertise in at least one relevant STEM or scientific domain.
  • Practical proficiency with Python or other coding languages.
  • Strong scientific, mathematical, or quantitative problem-solving ability.
  • Experience using coding agents in your workflow.
  • Expertise may be demonstrated through academic research, industry, teaching, engineering, independent technical work, or other relevant experience; a specific degree or number of years of experience is not strictly required if strong expertise can be demonstrated.

Nice To Haves

  • Experience with relevant Python tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or domain-specific scientific libraries; no particular Python library is mandatory.
  • Expertise in chemistry, biology, mathematics, physics, earth science, geoscience, environmental science, robotics, or an adjacent scientific or quantitative discipline.

Responsibilities

  • Solve complex scientific, mathematical, or technical problems within your domain of expertise.
  • Review AI-generated solutions for factual, mathematical, and scientific correctness.
  • Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.
  • Use Python to perform calculations or simulations as needed.
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