Mechanical Designer (AI Training)

DataAnnotation; United States; Remote; USD 142,000 - 202,000; Full time

Job summary

DataAnnotation seeks an experienced Mechanical Designer to craft verifiable engineering problems for AI training. You’ll derive and document solutions, test problems against AI systems, and review AI-generated analyses for real-world applicability.

Ideal candidates have 2+ years in mechanical engineering, CAD fluency, and a solid grasp of mechanics, thermodynamics, and materials. Remote work with international flexibility is offered.

Qualifications

• 2+ years of professional mechanical engineering experience.
• Proficient with CAD tools (SolidWorks, Fusion 360, Onshape, etc.).
• Strong fundamentals in mechanics of materials, thermodynamics, and heat transfer.

Responsibilities

• Write challenging, closed-ended engineering problems with worked solutions.
• Derive answers, verify, and document reasoning.
• Review AI-generated analyses for correctness and real-world applicability.
• Review others' problems and solutions for rigor and clarity.

Skills

Engineering fundamentals

Technical problem solving

Technical writing

Education

Bachelor's degree in mechanical engineering

Tools

SolidWorks

Fusion 360

Onshape

Creo / CATIA

Job description

Overview
We're looking for an experienced Mechanical Designer to help train AI models. you'll write hard, verifiable engineering problems drawn from your own specialty, work out the answers yourself, and show us exactly where today's AI systems still fall short of a practicing engineer.

Overview
We're looking for an experienced Mechanical Designer to help train AI models. you'll write hard, verifiable engineering problems drawn from your own specialty, work out the answers yourself, and show us exactly where today's AI systems still fall short of a practicing engineer.
This is a new and fast-growing area for our company, focused on teaching AI to reason like an engineer. The models can already talk fluently about mechanical engineering. What they can't yet do reliably is the actual work: size a component against a real load case, catch the failure mode a spec sheet doesn't mention, read a CAD assembly and tell you what interferes at full travel, or predict what a design change breaks downstream. Your engineering judgment becomes the benchmark those models are measured against.

• Write challenging, closed-ended problems from your area of expertise, built so that solving them requires real engineering reasoning rather than a lookup.
• Derive the correct answer, verify it, and write a worked solution showing how you got there.
• Test your problems against AI systems and sharpen the ones they get right until they challenge the model.
• Review AI-generated engineering analysis, designs, and technical documentation for correctness and real-world applicability.
• Review other contributors' problems and solutions for correctness, ambiguity, and rigor.

• Mechanical design and CAD: geometry, clearances, tolerances, mechanisms, and the effect of design changes.
• Structures and materials: stress, deflection, fatigue, buckling, material selection, and failure analysis.
• Thermal and fluids: heat transfer, thermodynamics, HVAC, pumps and piping, and fluid mechanics.
• Dynamics and controls: vibration, kinematics, rotating machinery, and control systems.
• Manufacturing: DFM/DFA, process selection, GD&T, tolerance stack-ups, and cost and quality trade-offs.

Roles this fits
Common backgrounds: Mechanical Designer, CAD Designer, Drafter.

What we look for

• 2+ years of professional mechanical engineering experience in any specialty: design, product development, manufacturing, thermal, structural, automotive, aerospace, HVAC, robotics, energy, or related fields.
• Fluency in the tools of your specialty, such as CAD (SolidWorks, Fusion 360, Onshape, Creo, NX, CATIA, or Inventor), FEA/CFD, or MATLAB/Python for engineering analysis.
• Strong fundamentals across mechanics of materials, dynamics, thermodynamics, heat transfer, fluid mechanics, and manufacturing processes.
• Able to write a precise, unambiguous technical problem and a clear worked solution in fluent written English.
• Meticulous: you check your own work and enjoy finding the edge case that breaks an assumption.
• A bachelor's degree in mechanical engineering or a related field (completed or in progress).
• Only applicants based in Australia, Canada, Ireland, New Zealand, the United Kingdom, or the United States will be considered for this role.

Compensation Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k-$200k a year; some make it their full-time income.

About DataAnnotation DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.