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Biology Expert (PhD) - AI Safety

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... AI-generated content, develop expert-level prompts, and help ensure AI models produce ... Unfortunately, visa sponsorship, including H-1B and STEM OPT support, is not available for this ...

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What is a STEM AI Expert?

A STEM AI Expert is a professional who specializes in applying artificial intelligence (AI) technologies within the fields of Science, Technology, Engineering, and Mathematics (STEM). They use their expertise to develop and implement AI-driven solutions to solve complex problems, automate processes, and advance research in STEM domains. These experts often work in academia, industry, or research institutions, collaborating with interdisciplinary teams to integrate AI into projects such as data analysis, robotics, and scientific modeling.

What are the key skills and qualifications needed to thrive as a STEM AI Expert?

To thrive as a STEM AI Expert, you need a strong background in mathematics, computer science, and engineering, typically supported by an advanced degree in a related field. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and relevant certifications (e.g., in AI or data science) are highly valued. Critical thinking, problem-solving, and the ability to communicate complex ideas clearly set outstanding candidates apart. These skills are vital for developing innovative AI solutions, ensuring technical accuracy, and collaborating effectively within multidisciplinary teams.

What are some common challenges faced by a STEM AI Expert when integrating AI solutions into existing systems?

A STEM AI Expert often encounters challenges such as ensuring compatibility between new AI models and legacy systems, managing data quality and availability, and addressing stakeholders' concerns about change management. Balancing technical feasibility with business goals requires strong communication and collaboration with cross-functional teams. Additionally, keeping pace with rapidly evolving AI technologies while adhering to ethical and regulatory guidelines is essential for long-term project success.

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Infographic showing various Stem Ai Expert job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

Robotics/Mechatronics Expert - Remote

Boston, MA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 15 days ago

Job description

Job Title: Robotics & Mechatronics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Robotics and Mechatronics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will apply your engineering knowledge to real-world robotics and mechatronics challenges while demonstrating how advanced AI coding agents can support complex technical workflows.

The ideal candidate combines hands-on expertise in robotics, mechatronics, system design, and engineering problem-solving with practical experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork.

No prior experience in AI training is required—your domain expertise, technical judgment, and ability to apply AI agents to sophisticated engineering problems are what matter most.

Scope of Work
  • Analyze and solve practical robotics and mechatronics problems using advanced AI coding agents.
  • Design, implement, test, and document solutions to challenging technical scenarios involving robotics and mechatronic systems.
  • Demonstrate how AI agents can be applied to complex, ambiguous, or large-scale engineering problems.
  • Use AI coding agents for tasks such as navigating large codebases, debugging complex issues, developing features, and optimizing technical workflows.
  • Document agent-driven workflows, including the technical context, decisions, prompts or instructions, generated code sequences, iterations, and outcomes.
  • Evaluate AI-generated solutions for technical correctness, reliability, maintainability, and practical engineering relevance.
  • Provide structured written and verbal feedback on AI agent performance, usability, limitations, and effectiveness.
  • Contribute real-world examples involving end-to-end feature development, system design, architectural changes, debugging, and workflow automation.
  • Collaborate remotely with project stakeholders to identify opportunities for using AI agents to accelerate robotics and mechatronics development.
Required Skills
  • Robotics
  • Mechatronics
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • System Design
  • Debugging Complex Codebases
  • End-to-End Feature Development
  • Technical Documentation
  • Problem-Solving
  • Written and Verbal Communication
  • Remote Collaboration
Preferred Qualifications
  • Current or recent professional experience in robotics, mechatronics, automation, controls, embedded systems, or a related STEM discipline.
  • Demonstrated hands-on experience with robotics or mechatronics projects involving software, hardware, control systems, sensors, actuators, or system integration.
  • Proven experience using Codex, Claude Science, Claude Code, and Claude Cowork to generate and execute multi-step code sequences for real-world engineering applications.
  • Experience applying AI coding agents beyond simple code generation, including debugging, system design, architecture, optimization, testing, and technical workflow automation.
  • Experience working with large or complex codebases and implementing end-to-end technical features.
  • Familiarity with major architectural changes, refactoring, system integration, and troubleshooting complex engineering software.
  • Ability to clearly document technical workflows and explain how AI agents contributed to engineering decisions and outcomes.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts clearly.
  • Experience working independently in remote, collaborative engineering environments.
  • Ability to provide concrete examples demonstrating how AI agentic workflows have improved technical problem-solving, development speed, or engineering productivity.