Remote opportunity for mechanical engineering professionals to review and validate engineering problems, solutions, and explanations across statics, dynamics, thermodynamics, fluid mechanics, heat transfer, and machine design while helping improve technical quality standards and AI systems.
Mechanical Engineering Quality Assurance Lead (QAL)
United States
Up to $75/hr
June 15, 2026
Job description
About the Role
This is a remote, hourly contractor role for a Mechanical Engineering Quality Assurance Lead (QAL) responsible for overseeing quality, consistency, and contributor performance across mechanical engineering AI training projects.
You will review AI-generated engineering content, evaluate trainer and QA work, maintain technical quality standards, support onboarding activities, manage contributor performance, and ensure adherence to engineering review guidelines and evaluation rubrics.
The role combines mechanical engineering expertise, technical quality assurance, AI evaluation, contributor support, safety review, and process improvement.
Key Responsibilities
Quality Monitoring
- Review mechanical engineering training items and QA outputs
- Identify quality issues and recurring technical errors
- Provide detailed feedback to contributors
- Escalate critical quality concerns
Technical Review
Evaluate AI-generated:
- Engineering explanations and calculations
- Design recommendations and technical reasoning
- Problem-solving workflows and diagram interpretations
Verify technical accuracy, logical consistency, calculation correctness, unit consistency, engineering assumptions, standards awareness, and clarity of explanation.
Trainer & QA Communication
- Communicate guideline updates and workflow changes
- Clarify engineering-specific review standards
- Maintain alignment across contributors
Question Resolution
Respond to contributor questions regarding engineering assumptions, formulas, calculations, units, standards references, safety considerations, rubric interpretation, and design reasoning.
Contributor Activation Management
- Follow up with inactive contributors and track engagement
- Encourage participation and task completion
Documentation Management
Create and maintain style guides, engineering FAQs, quality notes, calibration tasks, examples, trackers, honeypots, and onboarding materials.
Onboarding & Training
- Conduct onboarding and training sessions
- Explain project workflows, evaluation rubrics, engineering quality standards, technical review procedures, and safety requirements
Risk & Safety Review
Identify and flag unsafe recommendations, dangerous engineering advice, misleading conclusions, unsupported assumptions, structural integrity risks, manufacturing safety concerns, and equipment safety issues.
Process Improvement
- Identify recurring quality gaps and recommend workflow improvements
- Help build scalable QA processes for engineering projects
Required Skills & Qualifications
- Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, Mechatronics, Manufacturing Engineering, or related discipline
- 3+ years of professional experience in mechanical engineering, product design, manufacturing, R&D, systems engineering, technical review, or CAD/CAE workflows
- Strong understanding of statics, dynamics, mechanics of materials, thermodynamics, fluid mechanics, heat transfer, machine design, manufacturing processes, materials engineering, and engineering calculations
- Ability to identify incorrect assumptions, calculation errors, missing units, unsafe recommendations, hallucinated standards, poor engineering reasoning, and design flaws
- Strong written English, technical feedback, and documentation skills
Preferred Qualifications
- Experience with SolidWorks, AutoCAD, Fusion 360, ANSYS, MATLAB, Python, or FEA/CAE software
- Experience leading or supporting engineers, technical reviewers, QA teams, or annotation teams
- Experience with AI training, data annotation, LLM evaluation, or rubric-based QA
- Familiarity with Discord, Google Docs, Google Sheets, and project management systems
Additional Information
- Fully remote — Flexible schedule — Weekly payments
- Access to future opportunities through the SME Careers expert network
About SME Careers
SME Careers is an AI data services company and subsidiary of SuperAnnotate that provides training data for leading AI companies and foundation-model laboratories.
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