Engineering Subject Matter Expert (AI Training) at Weekday AI

, , United States -

Full Time

Start Date

Immediate

Expiry Date

01 Oct, 26

Salary

40.0

Posted On

03 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Engineering Documentation, Technical Analysis, Technical Report Writing, Problem Solving, Engineering Design Review, Quality Assurance, Regulatory Compliance, Cross-functional Collaboration, Engineering Standards, Project Analysis, Design Documentation, Research & Technical Writing

Industry

technology;Information and Internet

Description

This role is for one of our clients $20 - $40/hourpay Role Title:Engineering Subject Matter Expert (AI Training) Role Type: Contractor Location: Remote We are seeking an Engineering Subject Matter Expert to help develop next-generation AI systems by applying real-world engineering expertise to evaluate, create, and improve technical content. In this role, you will review engineering documentation, assess technical accuracy, and contribute practical engineering knowledge that enhances AI reasoning and performance. No prior AI experience is required—your engineering expertise is what matters most. Key ResponsibilitiesTechnical Review & Analysis Review and analyze engineering documentation, including technical reports, design documents, specifications, and project analyses. Evaluate engineering submissions for technical accuracy, completeness, clarity, and adherence to industry best practices. Provide detailed technical feedback, clarifications, and expert recommendations on complex engineering scenarios. Content Development Develop real-world engineering examples, case studies, and problem sets across various engineering disciplines. Create structured technical explanations to help improve AI understanding of practical engineering concepts. Ensure all technical content is accurate, well-organized, and aligned with engineering principles. AI Model Evaluation Assess AI-generated engineering responses for correctness, logical reasoning, and technical rigor. Identify errors, inconsistencies, or gaps in engineering outputs and provide actionable feedback to improve model performance. Contribute to the development of high-quality engineering datasets for AI training and evaluation. Collaboration & Process Improvement Work closely with project teams to ensure deliverables align with project milestones and quality standards. Share industry best practices and technical insights to enhance project methodologies. Collaborate effectively in a remote environment while maintaining high-quality documentation and deliverables. Required Skills & Qualifications Bachelor's, Master's, or PhD in Mechanical, Civil, Electrical, Chemical, Industrial, Aerospace, Electronics, Manufacturing, or any other Engineering discipline. Experience preparing technical reports, engineering documentation, design specifications, or project analyses. Strong analytical and problem-solving skills with attention to technical detail. Excellent written and verbal communication skills with the ability to explain complex engineering concepts clearly. Ability to work independently and manage deliverables in a remote work environment. Preferred Qualifications Experience working on multidisciplinary or cross-functional engineering projects. Ability to communicate technical concepts effectively to both technical and non-technical audiences. Familiarity with engineering standards, regulatory compliance, quality assurance, or industry best practices. Experience reviewing engineering documentation or providing technical guidance. Passion for innovation, technology, and engineering education. Must-Have Skills Engineering Documentation Technical Analysis Technical Report Writing Problem Solving Engineering Design Review Good-to-Have Skills Quality Assurance Regulatory Compliance Technical Documentation Cross-functional Collaboration Engineering Standards Project Analysis Design Documentation Research & Technical Writing

Responsibilities

The role involves reviewing engineering documentation and AI-generated responses to ensure technical accuracy and logical reasoning. The expert will also develop real-world engineering case studies and problem sets to improve AI model performance.