Mechanical Engineering Quality Assurance Lead for remote contract
Overview
As a remote contract role, you’ll lead quality control for mechanical engineering AI training projects. You’ll review AI-generated content, perform technical evaluations, and provide precise feedback to maintain alignment with project rubrics. Expect to document standards, calibrate workflows, and guide remote trainers and QA specialists. Strong mechanical engineering expertise and clear English communication are essential to ensure accurate, safety-conscious outcomes. This role supports SME Careers and contributes to high-quality data used by leading AI models.
What You'll Do10
- 1Spot-check mechanical engineering outputs and flag quality issues with concrete, written feedback
- 2Assess AI-generated explanations, calculations, and design recommendations for accuracy and clarity against project rubrics
- 3Communicate project guidelines, workflow updates, and quality expectations to trainers and QAs on Discord
- 4Respond promptly to questions about engineering assumptions, units, formulas, safety concerns, and standards references
- 5Manage activation and engagement of contributors, tracking follow-ups and availability
- 6Create and maintain project documentation such as style guides, trackers, FAQs, and onboarding materials
- 7Lead onboarding/training sessions to align trainers and QAs with mechanical engineering review requirements
- 8Ensure consistent application of engineering guidelines across all trainers and QAs as projects evolve
- 9Flag risky or unsafe recommendations and ensure adherence to safety and design standards
- 10Identify recurring quality gaps and propose scalable QA process improvements for AI training
Requirements10
- 1Bachelor’s or Master’s degree in mechanical, aerospace, mechatronics, manufacturing engineering, or closely related field
- 2Strong English communication to provide clear technical feedback
- 33+ years in mechanical engineering, product design, manufacturing, or related workflows
- 4Solid grounding in mechanics, thermodynamics, fluid mechanics, heat transfer, machine design, materials, and drawing interpretation
- 5Ability to evaluate content against rubrics and identify incorrect assumptions, flawed calculations, or unsafe recommendations
- 6Experience with CAD/FEA/CAE tools such as SolidWorks, AutoCAD, ANSYS, Fusion 360, or similar
- 7Past leadership or support of remote teams of trainers, annotators, reviewers, or QAs is preferred
- 8Comfort working in fast-moving remote environments with Discord, Google Sheets/Docs, trackers, and dashboards
- 9Attention to detail with maintained style guides, trackers, onboarding materials, and quality documentation
- 10Experience with AI training, data annotation, LLM evaluation, or rubric-based content QA is a strong plus
Who Should Apply
Ideal candidates are mechanical engineers with hands-on design, analysis, or research experience and a track record of remote collaboration. They should excel at precise technical feedback and be comfortable enforcing guidelines across diverse teams. This role may be less suitable for those without strong English communication or who prefer in-person collaboration. Candidates who lack familiarity with CAD/FEA tools or who cannot interpret engineering drawings against rubrics may score lower. The position suits professionals seeking steady contract work with potential future opportunities within SME Careers.
Salary Insight
75 per hour. Compensation stated as an hourly rate for a remote contract role; typical engagements align with mid-senior level engineering QA work and may vary with project scope.
Location
Required Skills
Application Tip
Highlight a concrete example of past QA work on engineering content, including a specific rubric you used and the impact on model training accuracy.
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