YO IT Consulting
Mechanical Engineering QA Lead - Remote
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title: Mechanical Engineering Quality Assurance Lead
Job Type: Contract
Location: Remote
About This Role
In this hourly, remote contractor role, you will work as a Mechanical Engineering Quality Assurance Lead to oversee quality, consistency, and trainer performance across mechanical engineering AI training projects.
-
Review AI-generated mechanical engineering content and trainer/QA work
-
Evaluate output quality against project guidelines
-
Provide precise written feedback to ensure adherence to expected quality standards
-
Assess work for:
- Technical accuracy
- Engineering reasoning and calculation correctness
- Standards awareness
- Clarity and safety considerations
- Unit consistency
- Formatting
- Instruction-following
- Adherence to project-specific rubrics
-
Spot recurring quality issues
-
Communicate updates to trainers and QAs
-
Support onboarding and contributor activation for inactive members
-
Maintain project documentation
This role requires:
- Strong mechanical engineering expertise
- Excellent English communication skills
- High attention to detail
- Ability to manage quality workflows across remote technical teams
This opportunity is with a fast-growing AI Data Services company, delivering training data to the world’s largest AI companies and foundation-model labs. As a Mechanical Engineering Quality Assurance Lead, your work directly impacts the accuracy, logical coherence, and clarity of engineering content for premier AI models.
⚠️ Important: There is no immediate project for this role. However, qualified candidates will be among the first contacted for future mechanical engineering AI training opportunities.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Profile Requirements
-
Degree: Bachelor’s or Master’s in Mechanical Engineering, Aerospace Engineering, Mechatronics, Manufacturing Engineering, or related field
-
English proficiency: Strong grasp to interpret guidelines, communicate with teams, and provide clear technical feedback
-
Experience: 3+ years in:
- Mechanical engineering
- Product design
- Manufacturing
- R&D
- Systems engineering
- CAD/CAM
- Simulation
- Technical review/mentoring
- Engineering education
-
Core competencies:
- Deep understanding of key mechanical engineering topics:
- Mechanics, thermodynamics, fluid mechanics, heat transfer, machine design, materials, manufacturing processes
- Dynamics, statics, engineering drawing interpretation
- Ability to evaluate content against detailed rubrics for issues such as:
- Incorrect assumptions
- Flawed calculations
- Missing units/configuration
- Unsafe recommendations
- Poor reasoning/hallucinated standards
- Deep understanding of key mechanical engineering topics:
-
Preferred:
- Experience with engineering tools: CAD (SolidWorks, AutoCAD, Fusion 360), FEA/CAE (ANSYS), MATLAB/Python
- Leadership support in remote technical teams (trainers, annotators, reviewers, engineers, technical writers, QAs)
- Experience with AI training/data annotation, LLM prompt/response evaluation, and rubric-based assessment
- Comfortable in fast-paced remote environments using:
- Discord, Google Sheets/Docs
- Project management/tracking systems
- Highly detail-oriented with experience maintaining:
- Style guides, FAQs
- Calibration tasks, onboarding materials
- Honeypots (to test quality compliance)
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Key Responsibilities
Quality & Technical Review
- Spot-check mechanical engineering outputs for quality deficiencies
- Provide detailed feedback to AI generators and contributors
- Flag and escalate repeated or critical issues
Trainer & QA Management
- Update trainers/QAs on:
- Guidelines and standard changes
- Review workflows/standards
- Engineering-specific feedback criteria
- Respond to technical inquiries on:
- Assumptions, formulations
- Units, formulas, safety concerns
- Standards interpretation, rubric application
Team Engagement & Onboarding
- Schedule and conduct training calls for new contributors, covering:
- Project expectations
- Workflows/rubrics
- Engineering-specific review standards
Documentation & Process Improvement
- Maintain all project documentation, including:
- Style guides, data dictionaries
- FAQs, quality notes/examples
- Tooling checklists/honeypots
- Calibration and onboarding materials
- Identify inefficiencies and propose QA workflow optimizations
Safety & Risk Review
- Flag potentially unsafe/hallucinated engineering recommendations
- Ensure up-to-date understanding of:
- Design, manufacturing guidelines
- Location-specific codes/standards
- Equipment/safety compliance avenues
Contributor Activation
- Re-engage inactive contributors via DM
- Track follow-up and availability
- Report inconsistent performance trends
Qualified candidates will become part of an elite AI training expert network, ensuring priority access to cutting-edge mechanical engineering projects.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location