Mechanical Designer (AI Training)

DataAnnotation; Australia; Remote; AUD 202,000 - 287,000; Part time

Benefits offered by this job

Flexible hours

Weekly payouts

Remote-friendly

Job summary

DataAnnotation is seeking an experienced Mechanical Designer to craft challenging, verifiable engineering problems for AI model training. You will derive, solve, and document worked solutions, then test against AI systems and improve the models’ reasoning.

You’ll review AI-generated analyses and ensure real-world applicability, with collaboration on problem quality and rigor. You should have 2+ years in mechanical engineering, strong CAD tool fluency, and the ability to express precise,

Qualifications

• 2+ years of professional mechanical engineering experience in design, product development, or related fields.
• Ability to write precise, unambiguous engineering problems and worked solutions in fluent English.
• Proficiency in CAD tools such as SolidWorks, Fusion 360, Onshape, Creo, NX, CATIA or Inventor.

Responsibilities

• Write challenging, closed-ended problems from your area of expertise requiring real engineering reasoning.
• Derive, verify, and write a worked solution showing the reasoning path.
• Test problems against AI systems and refine as needed.
• Review AI-generated analyses, designs, and documentation for correctness and real-world applicability.
• Review other contributors’ problems and solutions for clarity and rigor.

Skills

Mechanical engineering

Technical writing

Education

Bachelors in Mechanical Engineering

Tools

SolidWorks

Fusion 360

Onshape

Creo

NX

CATIA

Inventor

MATLAB/Python for engineering analysis

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.

What you’ll actually do

• 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.

Problems draw on whatever you know best

• 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.

Commitment Flexible hours

Type Independent contractor

Payouts Weekly

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.