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Brunel

AI Trainer: Mechanical Engineers CAD

Remote, Canada

Remote

$40 to $125 USD / hour · Full-time

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Job details

Pay: $40 to $125 USD / hour
Job type: Full-time
Workplace: Remote
Apply by: Jan 31, 2027
Posting language: English
Posted: Nov 2, 2026

Original job description

Brunel is partnering with DataAnnotation to connect experienced Mechanical Engineers with an innovative AI training program. This opportunity brings together hands-on mechanical engineering expertise and artificial intelligence to help evaluate and improve how AI models solve real-world engineering problems. Selected experts will contribute their knowledge to the development of high-quality, technically accurate AI systems.

This opportunity is designed for practicing engineers across mechanical design and CAD, structures and materials, thermal and fluid systems, dynamics and controls, manufacturing, automotive, aerospace, HVAC, robotics, energy, and related mechanical engineering disciplines.

The models can already communicate fluently about mechanical engineering concepts. The challenge is teaching them to reliably perform the actual engineering work: sizing components against real load cases, identifying potential failure modes, evaluating CAD assemblies and clearances, analyzing design changes, and understanding downstream impacts. Your engineering judgment will help establish the benchmark against which these AI models are evaluated.

Engagement Details

Engagement
Fully remote, project-based work with a flexible schedule. Around 10 hours per week is the recommended starting point; the project prioritizes engineers who can commit 30–40 hours per week, though part-time availability is considered.

Pay Rate
$40–$125+ USD/hour, paid via PayPal

Location
United States, Canada, United Kingdom, Ireland, Australia, and New Zealand

First Step
Skills assessment (1–3 hours)

Responsibilities:

Design challenging, closed-ended mechanical engineering problems based on your own professional experience that require genuine engineering reasoning rather than simple information lookup.
Derive and verify the correct answers to your problems and develop clear, technically rigorous worked solutions demonstrating your methodology.
Test engineering problems against advanced AI models and refine them to appropriately challenge the models’ reasoning capabilities.
Evaluate AI-generated mechanical engineering analysis, designs, calculations, and technical documentation for accuracy and real-world applicability.
Compare AI-generated solutions and determine which performs better, identifying specific strengths, weaknesses, and technical errors.
Identify and document concrete failures, including incorrect assumptions, calculation or unit errors, unrealistic results, overlooked failure modes, improper material or component selection, and misinterpretation of engineering requirements.
Review problems and solutions developed by other engineering contributors for technical correctness, ambiguity, rigor, and practical relevance.
Apply your expertise across one or more mechanical engineering disciplines, including:
Mechanical Design & CAD: geometry, clearances, tolerances, mechanisms, assemblies, and the impact of design changes.
Structures & Materials: stress, deflection, fatigue, buckling, material selection, and failure analysis.
Thermal & Fluids: heat transfer, thermodynamics, HVAC, pumps, piping, and fluid mechanics.
Dynamics & Controls: vibration, kinematics, rotating machinery, and control systems.
Manufacturing: DFM/DFA, process selection, GD&T, tolerance stack-ups, and cost and quality trade-offs.

Qualifications:

Fluency in English, with the ability to communicate complex technical reasoning clearly in writing.
2+ years of professional mechanical engineering experience in design, product development, manufacturing, thermal systems, structural engineering, automotive, aerospace, HVAC, robotics, energy, or a related discipline.
Background in Mechanical Engineering or a closely related engineering field.
Strong engineering fundamentals, including knowledge of mechanics of materials, dynamics, thermodynamics, heat transfer, fluid mechanics, and manufacturing processes.
Experience with tools relevant to your engineering specialty, which may include CAD platforms such as SolidWorks, Fusion 360, Onshape, Creo, NX, CATIA, or Inventor; FEA/CFD tools; or MATLAB/Python for engineering analysis.
Ability to develop precise, technically rigorous, and unambiguous engineering problems and clearly explain the reasoning behind the correct solution.
Ability to articulate why an engineering answer or design is incorrect, not simply identify that it is wrong.
Strong attention to detail and the ability to identify edge cases, incorrect assumptions, and potential failure modes.
Working comfort with AI tools, or the ability to learn and use them quickly.
A current, in-progress, or completed Bachelor’s degree in Mechanical Engineering or a related field.

Relevant Backgrounds:

This opportunity may be particularly relevant for professionals currently working as:

Mechanical Engineer
Mechanical Design Engineer
Product Engineer
Manufacturing Engineer
Structural/Mechanical Engineer
Thermal Engineer
HVAC Engineer
Automotive Engineer
Aerospace Engineer
Robotics Engineer
Mechanical Systems Engineer

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants based in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role.

This is an independent contractor position.

#RPOCAD

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More about this job

Responsibilities

Create rigorous mechanical engineering problems and verified worked solutions, then test and refine them against advanced AI models. Evaluate AI-generated engineering work for accuracy and practical applicability, document technical failures, compare solutions, and review other contributors’ work.

Requirements

Applicants need at least two years of professional mechanical engineering experience, strong engineering fundamentals, and a current, in-progress, or completed bachelor’s degree in mechanical engineering or a related field. They must communicate technical reasoning clearly in English, use relevant engineering tools, and be able to identify errors, edge cases, and failure modes.

Skills

Mechanical Engineering
Mechanical Design
CAD
Engineering Analysis
Finite Element Analysis
Computational Fluid Dynamics
Mechanics Of Materials
Thermodynamics
Heat Transfer
Fluid Mechanics
Manufacturing Processes
Failure Analysis
Tolerance Stack-Ups
Technical Writing
AI Model Evaluation
MATLAB/Python

Remote locations

United States
Canada
United Kingdom
Ireland
Australia
New Zealand

Remote locations (standardized)

Australia
Canada
Ireland
New Zealand
United Kingdom
United States

Visa sponsorship

Not detected in the job text

Keywords

Mechanical Engineering
Mechanical Design
CAD
SolidWorks
Fusion 360
Onshape
Creo
NX
CATIA
Inventor
Finite Element Analysis
Computational Fluid Dynamics
MATLAB
Python
Mechanics Of Materials
Thermodynamics
Heat Transfer
Fluid Mechanics
GD&T
Tolerance Stack-Ups
Design For Manufacturing
Design For Assembly
Failure Analysis
AI Model Evaluation
Engineering Problem Design
Technical Documentation
Manufacturing Processes
Structural Engineering
HVAC
Robotics

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