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Artificial Intelligence Data Annotation Jobs in Ontario

Strong analytical skills with the ability to interpret and derive insights from complex data ... artificial intelligence (AI) tools to assist in the initial screening of applications submitted ...

Data Scientist I

Toronto, ON · On-site

CA$69K - CA$98K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $69,700 - $98,400 CAD TD is committed ... The Data Scientist I will support the development and delivery of analytics, reporting, and AI ...

You'll also advance the use of leading-edge tools and analytical techniques, including artificial intelligence and machine learning, where applicable. Through your leadership, you'll help shape data ...

You'll also advance the use of leading-edge tools and analytical techniques, including artificial intelligence and machine learning, where applicable. Through your leadership, you'll help shape data ...

Sr Data Scientist / Economist

Toronto, ON · On-site

CA$72K - CA$138K/yr

About the team Deloitte's Artificial Intelligence & Data practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful ...

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Showing results 1-20

Artificial Intelligence Data Annotation information

See Ontario salary details

$24.5K

$97.6K

$189.5K

How much do artificial intelligence data annotation jobs pay per year?

As of Aug 6, 2026, the average yearly pay for artificial intelligence data annotation in Ontario is $97,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $136,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in artificial intelligence data annotation?

To thrive as an Artificial Intelligence Data Annotation specialist, you need strong attention to detail, proficiency in data labeling, and a basic understanding of machine learning concepts, often supported by a high school diploma or higher. Familiarity with annotation platforms (such as Labelbox or CVAT), spreadsheet software, and sometimes knowledge of programming basics or data formats (like CSV or JSON) is beneficial. Strong communication skills, consistency, and the ability to work both independently and collaboratively are key soft skills for this role. These competencies ensure high-quality, accurate datasets that are critical for training reliable AI models.

How to become an artificial intelligence data annotation?

To become an AI data annotation specialist, you typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Some roles may require a high school diploma or equivalent, and training is often provided on the job. Developing skills in data labeling, understanding of AI concepts, and consistency are key to success in this field.

What does an artificial intelligence data annotation do?

Daily responsibilities for an Artificial Intelligence Data Annotation professional typically include reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them according to project guidelines. You may also participate in quality assurance checks, provide feedback to improve annotation processes, and collaborate with data scientists or project managers to clarify labeling standards. Most annotation work requires maintaining strict attention to detail and meeting production quotas or deadlines. Work is often structured individually but may involve collaboration within a larger team, especially when aligning on new guidelines or best practices. This structured, detail-oriented environment supports the development of high-quality training data for AI systems.

What is an artificial intelligence data annotation?

An Artificial Intelligence Data Annotation job involves labeling, tagging, or categorizing data such as text, images, audio, or video to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include bounding box annotation, sentiment analysis, transcription, or entity recognition, depending on the AI application. This role is essential in industries like autonomous vehicles, healthcare, and natural language processing. Attention to detail and familiarity with annotation tools are key skills for this job.

What are popular job titles related to Artificial Intelligence Data Annotation jobs in Ontario? For Artificial Intelligence Data Annotation jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Data Annotation jobs in Ontario look for? The top searched job categories for Artificial Intelligence Data Annotation jobs in Ontario are:
What cities in Ontario are hiring for Artificial Intelligence Data Annotation jobs? Cities in Ontario with the most Artificial Intelligence Data Annotation job openings:
Infographic showing various Artificial Intelligence Data Annotation job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,552 per year, or $46.9 per hour.

Artificial Intelligence Student

Magna

Concord, ON • On-site

CA$20 - CA$22/hr

Full-time

Re-posted 15 days ago


Job description

Job descriptions may display in multiple languagesbased 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:
The Magna Exteriors portfolio of products includes access systems such as liftgates, exterior trim, modular systems, front-end modules including fascia, active aerodynamic systems and other lightweight structural components for automotive, commercial truck and other industrial markets.
Recognized globally as an innovator in all aspects of vehicle exteriors, Magna provides everything needed, from materials development and design through manufacturing and assembly, to help automakers create sleek, state-of-the-art vehicles across the world.

Job Responsibilities:

As an Artificial Intelligence Student, you will play a vital role in implementing AI projects on our production floor to enhance efficiency and quality. Collaborating with cross-functional teams, you will develop and execute innovative AI solutions, using your creative thinking to tackle complex challenges. Reporting on project progress and continuously improving AI implementations will be essential aspects of your role. Your expertise in AI technologies, programming, and machine learning algorithms will contribute to our company's digital transformation.

KEY JOB RESPONSIBILITIES:

  • Develop and Train machine learning models through our specialized AI Video tools Validate and test models using premade AI tools or build using Python OpenCV
  • Aid in building and deploying AI Systems on our production floor to integrate with existing systems.
  • Evaluate the feasibility and potential impact of AI initiatives and propose innovative solutions.
  • Work closely with cross-functional teams to gather requirements and design AI solutions. Monitor and continuously improve the performance and effectiveness of AI implementations.
  • Stay up to date with advancements in AI technologies and identify opportunities for continuous improvement. Regularly report on the progress of AI initiatives, including milestones achieved, challenges faced, and future.
  • Document all methodologies, processes and results Provide training and support to team members on AI-related projects.

EDUCATION & PROFESSIONAL EXPERIENCE:

  • Enrolled in Masters in Artificial Intelligence, Machine Learning or Equivalent Field
  • Python, YOLO Models, Tensorflow, PyTorch,
  • Strong analytical skills with the ability to interpret and derive insights from complex data
  • Proficiency in working with a wide range of AI toolboxes and frameworks
  • Fluent English in reading, writing & communication.

Compensation: $20-22/hour

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:

Intern (Fixed Term) (Trainee)

Group:

Magna Exteriors