> Markdown version of [/jobs/ext/3871462-robotics-expert-remote](https://www.wearedevelopers.com/jobs/ext/3871462-robotics-expert-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Robotics Expert - Remote - **Company:** Yo Labs Inc. - **Location:** New York, NY, United States (Remote available) - **Contract:** Contract - **Skills:** Artificial Intelligence, Data Analysis, Computer Programming, Python (Programming Language), NumPy, SciPy, AI Coding Agents, Jupyter, Pandas, Programming Languages - **Published:** October 22, 2026 - **Apply:** https://www.careerjet.com/jobad/us99b92550ab8a40c464cae0e3d38cf3da ## About the Role * 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., Candidates should be ready to start promptly, with the first task expected within 24-48 hours after onboarding. ## Description 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, * 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.