Posted 26 days ago
Mechanical Engineering Subject Matter Expert – AI Training
@ Altis
Remote in Canada
Overview
Altis is hiring a remote mechanical engineering subject matter expert to help train and improve AI systems. The work involves reviewing engineering problems, calculations and designs for accuracy and flaws, and writing clear technical explanations. It is an initial 4-week contract with a minimum of 10 hours per week on a flexible schedule, with possible ongoing work.
Pay:
From $40 an hour
Responsibilities:
- Review engineering problems, solutions and designs
- Analyze calculations, assumptions and design decisions
- Identify errors and flawed engineering reasoning
- Write clear, technically sound explanations
- Follow detailed project guidelines and quality standards
Requirements summary:
- Degree in Mechanical Engineering or related discipline
- Professional or research engineering experience
- Fluency with CAD, FEA/CFD or MATLAB/Python tools
- Strong analytical and written communication skills
- Familiarity with generative AI tools
Tools & skills
Source and dates
Employer career site / ATS feed · careerpage
- Employer posting date
- 2026-10-12
- First seen by our source
- 2026-10-13
- Source record updated
- 2026-10-13
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Hours per week | 10 |
| Schedule | day, evening |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Encouraged to apply | Women, Racialized people, Indigenous peoples, People with disabilities, 2SLGBTQ+ |
| Education | Bachelor’s degree (required) |
| Fields of study | Mechanical Engineering |
| Perks mentioned | Flexible hours |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Altis
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.
Connecting top talent to meaningful work across Canada
Full company description
Since 1989, Altis has been a Canadian staffing leader and is one of Canada’s largest independent staffing firms, connecting top talent to meaningful work across industries and sectors. More than just your staffing firm, we’re your staffing partner. Our specialized, expert recruiters consult with you to understand your sector and specific talent needs, and then source the most qualified candidates, from entry-level to executive management, at the most competitive rates. Every year, we place more than 4,000 experienced candidates nationwide, fueling our clients’ businesses while building careers worth celebrating.
- LinkedIn followers
- 289,738
- People associated on LinkedIn
- 269
- Reported office locations
- 102 Bank St, Suite 300, Ottawa, ON K1P 5N4, CA
- 330 Bay Street, Suite 700, Toronto, ON M5H 2S8, CA
- 905 West Pender St, Suite 405, Vancouver, British Columbia V6C 1L6, CA
- Other recorded names
- Altis
- Specialties
- staffing
- recruitment
- IT staffing
- F&A staffing
- and Administration & Support staffing
- Profile identifies a recruitment agency
- Yes
Since 1989, Altis has been a Canadian staffing leader and is one of Canada’s largest independent staffing firms, connecting top talent to meaningful work across industries and sectors. More than just your staffing firm, we’re your staffing partner. Our specialized, expert recruiters consult with you to understand your sector and specific talent needs, and then source the most qualified candidates, from entry-level…
| Field | Value |
|---|---|
| Industry | Staffing and Recruiting |
| Company size | 51-200 employees |
| Headquarters | Ottawa, ON |
| Organization type | Privately Held |
| Year founded | 1989 |
| Specialties | staffingrecruitmentIT staffingF&A staffingand Administration & Support staffing |
| Open jobs on Jobsy | 406 |
| View page |
Mechanical Engineering Subject Matter Expert AI Training
Location: Remote
Contract: Initial 4-week contract, with potential for ongoing opportunities
Hours: Minimum 10 hours per week
Schedule: Flexible
The Opportunity
We are seeking experienced Mechanical Engineering professionals for a fully remote project where you will apply your engineering expertise, technical judgment, and problem-solving abilities to specialized work supporting the training and improvement of AI systems.
This opportunity is ideal for mechanical engineers with strong industry, design, manufacturing, or research experience who are interested in applying their expertise to emerging technology while maintaining a flexible schedule.
The initial contract is 4 weeks, with the potential for ongoing project opportunities. Candidates must be able to commit a minimum of 10 hours per week, with work completed flexibly throughout the week based on individual availability and project requirements.
What You'll Do
Depending on your background and area of specialization, you may:
Apply mechanical engineering expertise to help train and improve AI systems
Review and evaluate engineering problems, solutions, designs, and technical explanations
Analyze engineering calculations, assumptions, methodologies, and design decisions
Assess technical information for accuracy, feasibility, logic, and completeness
Identify errors, inconsistencies, or flawed engineering reasoning
Solve technical and quantitative engineering problems
Evaluate different approaches to engineering design and problem-solving
Develop clear, technically sound explanations and solutions
Apply professional engineering judgment to complex or ambiguous scenarios
Follow detailed project guidelines and quality standards
Complete work independently while managing your own schedule
What We're Looking For
We're particularly interested in mechanical engineers with experience in areas such as:
Mechanical design
Product development
Manufacturing
Thermal systems
Structural analysis
Automotive engineering
Aerospace
HVAC
Robotics
Energy systems
Related mechanical engineering disciplines
Candidates should bring:
A degree in Mechanical Engineering or a closely related engineering discipline
Professional, academic, research, or hands-on engineering experience
Strong understanding of mechanical engineering principles and engineering analysis
Strong technical reasoning and problem-solving abilities
Fluency with tools relevant to your specialty, such as CAD platforms including SolidWorks, Fusion 360, Onshape, Creo, NX, CATIA, or Inventor; FEA/CFD tools; or MATLAB/Python for engineering analysis
The ability to review technical work and identify errors in calculations, assumptions, methodology, or reasoning
Strong analytical and critical-thinking skills
High attention to detail and accuracy
Excellent written communication skills
Familiarity with generative AI tools and an understanding of how human expertise and feedback can be used to train and improve AI systems
Comfort learning and navigating new technologies and digital platforms
Comfort working in a remote, self-directed environment
The ability to commit to a minimum of 10 hours per week
Why Consider This Opportunity?
Fully remote project work
Flexible schedule that can be managed around your existing commitments
Minimum commitment of 10 hours per week
Apply your mechanical engineering expertise to challenging technical problems
Gain hands-on exposure to the training and improvement of AI systems
Apply your engineering judgment and problem-solving skills to emerging technology
Potential for ongoing project opportunities following the initial 4-week contract
Interested?
If you have a strong background in mechanical engineering and are interested in applying your expertise to the training and improvement of AI systems, we'd like to hear from you.
Please apply with an up-to-date resume highlighting your education, professional experience, technical expertise, and engineering tools and technologies.
Qualified applicants will be contacted to discuss the opportunity and next steps.
We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals.All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.
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