Markham, On Data annotation ai Jobs – 14 Openings This Week

Engineer, AI & Software Testing
Magna International —Toronto, ON
- $95,000–$145,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Quick apply
Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)
Nucs AI —Toronto, ON
- Full-time
- Remote
- AI
- Flexible schedule
Quick apply
Strategic Project Lead, Sciences – Toronto
Mecka —Markham, ON
- $150,000–$200,000 a year
- Full-time
- Hybrid work
- Laboratory experience
- Computer networking
Quick apply
Developer
CAA SCO Systems & Services Inc —Thornhill, ON
- $58,000–$101,500 a year
- Hybrid work
- Computer Science
- Java
- JavaScript
- Wellness program
- Tuition reimbursement
Quick apply
Strategic Projects Lead, Canada
Mecka —Markham, ON
- $150,000–$200,000 a year
- Full-time
- Hybrid work
- Bilingual
- English
- Leadership
Quick apply
Strategic Project Lead, Hardware – Toronto
Mecka —Markham, ON
- $150,000–$200,000 a year
- Full-time
- Hybrid work
- Schematics
- Computer networking
- Manufacturing
Quick apply
UX/UI Designer
The Home Depot Canada —Toronto, ON
- $61,000–$91,000 a year
- Full-time
- Analysis skills
- Bachelor's
- No university degree
- Profit sharing
18h
Product Specialist
Solink —Toronto, ON
- $89,053–$101,150 a year
- Full-time
- Hybrid work
- Restaurant experience
- Communication skills
- Dental care
Specialist, CAD QC (Telecommunications)
Aecon Group —Toronto, ON
- $55,000–$65,000 a year
- Full-time
- Microsoft Word
- AutoCAD
- Civil engineering
- Tuition reimbursement
Quick apply
Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: Toronto · Remote (CA)
Autodesk —Toronto, ON
- Full-time
- Remote
- Doctoral degree
- System design
- Laboratory experience
Finance Business Analyst (Business Transformation)
Teknion Limited —Toronto, ON
- $102,090–$130,000 a year
- PMP
- Project management
- Agile
Quick apply
RQ11124 - Sr. Software Developer - Full Stack
Source Code —Toronto, ON
- $72.14–$108.22 an hour
- Full-time
- Azure
- DevOps
- Java
Quick apply
Clinical Operations & Enablement Lead
Nucs AI —Toronto, ON
- Full-time
- Hybrid work
- Master's degree
- Presentation skills
- Bachelor's
Quick apply
RQ11123 - 2 x Sr. Software Developer - Full Stack
Source Code —Toronto, ON
- $72.14–$108.22 an hour
- Full-time
- Azure
- DevOps
- Java
Quick apply

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UX/UI Designer
The Home Depot Canada —Toronto, ON
2+ years of UX experience in an Enterprise or retail environment or a degree in related field. Ability to craft visual annotations and functional specifications…
$61,000–$91,000 a year
18h
Developer
CAA SCO Systems & Services Inc —Thornhill, ON
Responsible for development activities including design, documentation, coding, and unit testing for assigned product features in SAP S/4 HANA Retail.
$58,000–$101,500 a year
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data annotation ai jobs near markham, on

Engineer, AI & Software Testing

Magna International -
Toronto, ON

Quick apply

Job details

Full-time
$95,000–$145,000 a year

Qualifications

TensorFlow
Azure
Computer Science
Web development
PyTorch
Engineering
AWS
Docker
Bachelor's
Machine learning
Continuous integration
GitHub
Keras
Robotics
Python
Workday

Full job description

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

This role involves testing AI models and software for diverse use cases using various methodologies. The incumbent will generate ground truth data, develop reference materials and annotated datasets, and build a robust testing framework to ensure high quality standards. Key tasks include engaging with internal customers to identify challenges, creating impactful solutions, and collaborating with universities and external partners to drive innovation and successful project outcomes. In addition, the role supports the R&D project team engineers and researchers by providing technical evaluation of technologies being considered by Magna.

Your Responsibilities

Salary: $95,000 - $145,000, annual salary
Immediate, open position
Evaluate technologies and product designs to ensure they align with scientific and engineering principles, company standards, customer needs, and relevant specifications.
Support the creation of innovative components and modules from conceptualization through all stages of development, including design engineering, validation, prototyping, testing, and assessing both production feasibility and business cases.
Design and execute research programs by applying fundamental concepts in mechanics, thermodynamics, hydraulics, electronics, heat transfer, and materials science.
Foster teamwork by contributing creative ideas for new products and processes, and by sharing information with colleagues.
Compare experimental results with simulation data for consistency and validation.
Oversee the innovation project timeline by tracking overall progress, coordinating efforts, estimating time requirements, sequencing tasks, and resolving any arising issues.
Clearly define and manage outsourced work—such as software development, prototyping, validation, and testing—ensuring it is completed on schedule.

Who we are looking for

Bachelor's or higher degree in Engineering including but not limited to: Computer Science, Electrical, Aerospace, and Robotics. Automotive OEM or Tier-1 experience preferred.
Comprehensive understanding about automotive technology
Good understanding of basic engineering principles and physics
3+ years of recent, in-depth, hands-on experience in a relevant field in the automotive industry

Your preferred qualifications

Proficient in handling training and validation data, segmentation and annotation process
Proficient in programming python
Proficient in machine learning and AI frameworks such as Tensorflow, Keras, PyTorch, …
Experience in github continuous integration and testing
Experience in prompting technics
Experience in frontend web development (next.js, react,…)
Experience in cloud deployment (docker, azure, aws,…)
Proficient in agentic AI frameworks such as crewai, langgraph, ...
Ability to travel domestic and international – 10% percent of the time.

Please Note

Accommodations for disabilities in relation to the job selection process are available upon request.
Candidates will be required to complete a Criminal Records Check, and if deemed necessary, a Credit Check as part of the candidate selection process.

What we offer

In addition, we offer you the following site benefits:

Hybrid work policy
Wellness programs and events
On-site cafeteria
Parking for electric vehicles
Access to private park for employees & their families

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Regular / Permanent

Group:

Magna Corporate

Quick apply

Refine Your Search

data annotation ai jobs in markham, on

Engineer, AI & Software Testing

Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)

Strategic Project Lead, Sciences – Toronto

Developer

Strategic Projects Lead, Canada

Strategic Project Lead, Hardware – Toronto

UX/UI Designer

Product Specialist

Specialist, CAD QC (Telecommunications)

Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: Toronto · Remote (CA)

Finance Business Analyst (Business Transformation)

RQ11124 - Sr. Software Developer - Full Stack

Clinical Operations & Enablement Lead

RQ11123 - 2 x Sr. Software Developer - Full Stack

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