Engineering Subject Matter Expert (AI Training)

The Engineering Subject Matter Expert (AI Training) role requires a bachelor’s, master’s, or PhD in mechanical, civil, electrical, chemical, industrial, aerospace, electronics, manufacturing, or related engineering fields.

Requirements

• Proven experience preparing engineering reports, technical documentation, design specifications, or project analyses in academic or professional settings.
• Strong analytical and problem-solving skills with high attention to technical detail and accuracy.
• Excellent written and verbal communication skills with the ability to explain complex engineering concepts clearly and effectively.
• Experience working with engineering standards, design processes, or technical validation workflows is highly desirable.
• Ability to work independently and manage deliverables effectively in a remote, distributed environment.
• Strong capability to bridge technical engineering knowledge with clear, structured communication for diverse audiences.

Responsibilities

• Review and analyze engineering documentation such as technical reports, design specifications, project analyses, and system descriptions for accuracy and completeness.
• Evaluate technical content for adherence to engineering principles, industry standards, and best practices across multiple disciplines.
• Provide detailed expert feedback, clarifications, and recommendations on complex engineering scenarios and problem statements.
• Create engineering-based examples, case studies, and structured problem sets to improve AI learning and reasoning.
• Develop clear, well-structured technical explanations that strengthen AI understanding of real-world engineering concepts.
• Audit AI-generated engineering responses for correctness, logic, and technical depth, identifying errors and inconsistencies.
• Contribute to the creation and refinement of high-quality engineering datasets used for AI training and evaluation.

Benefits

• Competitive hourly compensation ranging from $20-$40/hour (contract-based role).
• Fully remote work with flexible scheduling and asynchronous collaboration.
• Opportunity to contribute to cutting-edge AI systems using real-world engineering expertise.
• Exposure to multidisciplinary engineering challenges across AI training and evaluation projects.
• Potential for long-term engagement based on performance and project needs.