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Posted 5 days ago

AI Trainer: Mechanical Engineers CAD

@ Brunel

Toronto, Ontario

RemoteFull-time2+ years experience
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SIGNALS

Overview

Brunel is hiring experienced mechanical engineers through DataAnnotation for a fully remote, project-based AI training role. The work involves designing and verifying closed-ended engineering problems and evaluating AI-generated mechanical analysis, designs and CAD work for accuracy. Pay is $40–$125+ USD per hour via PayPal, with about 10 hours per week recommended to start and 30–40 hours per week preferred.

Responsibilities:

  • Design closed-ended mechanical engineering problems from professional experience
  • Derive and verify correct answers with worked solutions
  • Evaluate AI-generated engineering analysis and CAD work for accuracy
  • Document technical errors, failure modes and unit mistakes in AI outputs
  • Review other contributors' problems for correctness and clarity

Requirements summary:

  • 2+ years professional mechanical engineering experience
  • Bachelor's degree in mechanical engineering or related field, completed or in progress
  • Strong fundamentals in mechanics, thermodynamics, heat transfer and fluids
  • Experience with CAD, FEA/CFD or MATLAB/Python
  • Fluent English with clear technical writing

Tools & skills

Source and dates

Employer career site / ATS feed · jazzhr

Employer posting date
2026-11-01
First seen by our source
2026-11-02
Source record updated
2026-11-02

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
Experience2+ years
Hours per week10
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required)
Fields of studyMechanical Engineering

Summary and details written by AI from the posting; the employer’s posting is the authority.

Brunel

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

This is who we are: A powerful global network. Brunel – Connecting Specialists to Pioneering Projects.

Full company description

Founded in 1975, we are a global specialist delivering customised project and workforce solutions to drive sustainable industry transformations through technology and talent. With 120+ offices and a powerful network of more than 12,000 specialists around the world, we deliver Project and Consulting Solutions, Workforce Solutions and Global Mobility Solutions that transform global projects in Renewables, Conventional Energy, Mining, Life Sciences, Future Mobility, Industrials & Technology and many other sectors.

LinkedIn followers
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Other recorded names
  • Brunel
Specialties
  • Recruitment
  • Staffing
  • Traineeships
  • Global Company
  • Automotive
  • Legal
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  • Marketing & Communication
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  • Project management
  • Project and Consulting Solutions
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  • Global Mobility Solutions
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  • RPO
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  • Relocation Services
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  • Werkvertrag
  • Arbeitnehmerüberlassung
  • and Personaldienstleistung
Profile identifies a recruitment agency
Yes

Founded in 1975, we are a global specialist delivering customised project and workforce solutions to drive sustainable industry transformations through technology and talent. With 120+ offices and a powerful network of more than 12,000 specialists around the world, we deliver Project and Consulting Solutions, Workforce Solutions and Global Mobility Solutions that transform global projects in Renewables…

FieldValue
IndustryStaffing and Recruiting
Company size10,001+ employees
HeadquartersAmsterdam
Organization typePublic Company
Year founded1975
SpecialtiesRecruitmentStaffingTraineeshipsGlobal CompanyAutomotiveLegalFinanceMarketing & CommunicationHigh-techProject management
Open jobs on Jobsy80
LinkedInView page
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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