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Artificial Intelligence Data Annotation Jobs in Toronto, ON

Capco

Business Systems Analyst/Data Engineer

Toronto, ON · On-site +1

The Role We're looking for a Business Systems Analyst / Data Engineer to combine strong business ... Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI ...

Capco

Data Architect

Toronto, ON · On-site +1

You'll collaborate with technology, data, business, and engineering teams to turn complex ... Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI ...

SearchLabs

Data Steward

Markham, ON

CA$80K - CA$90K/yr

In this role, you will collaborate with data governance stakeholders to establish and maintain data ... Artificial intelligence (AI) is not used to screen, assess, or make hiring decisions for this role.

MasterCard

Director, Data Science

Toronto, ON · On-site

Title and Summary Director, Data Science Overview The Security Solutions Data Science team is responsible for delivering Artificial Intelligence (AI) and Machine Learning (ML) models that support ...

Capco

Market Data Product Manager

Toronto, ON · On-site +1

Shape the future of market data across front-office trading. The Role As a Market Data Product ... Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI ...

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All JobsArtificial Intelligence Data Annotation JobsArtificial Intelligence Data Annotation Jobs in Toronto, ON

Artificial Intelligence Data Annotation information

See Toronto, ON salary details

$23.4K

$93.1K

$180.8K

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

As of Sep 3, 2026, the average yearly pay for artificial intelligence data annotation in Toronto, ON is $93,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,422.00 and $130,267.00 per year, depending on experience, location, and employer.

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 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 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.

What are artificial intelligence data annotation jobs?

Artificial intelligence data annotation jobs involve labeling and categorizing data such as images, videos, text, or audio to help train machine learning models. These roles require attention to detail and often involve using specialized tools or platforms, with tasks typically performed remotely and on flexible schedules.

What are popular job titles related to Artificial Intelligence Data Annotation jobs in Toronto, ON?

For Artificial Intelligence Data Annotation jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Data Annotation jobs in Toronto, ON look for?

The top searched job categories for Artificial Intelligence Data Annotation jobs in Toronto, ON are:

Artificial Intelligence Data Annotation jobs near you
Infographic showing various Artificial Intelligence Data Annotation job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $93,098 per year, or $44.8 per hour.

Senior Data Scientist - Toronto (m/f/d)

AutoTrader.ca

Toronto, ON

CA$180K - CA$210K/yr

Full-time

Retirement

Re-posted 23 days ago

Job description

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence. 

Learn more at tradercorporation.com. 

As part of AutoScout24 group, Europe's largest online car marketplace, we're shaping the future of automotive retail in Canada and beyond. 

As Senior Data Scientist, you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada. 

You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models. While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Toronto. 

What you'll do 

  • Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement 
  • Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability 
  • Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes 
  • Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints 
  • Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems 

What you'll need  

  • Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field 
  • 6+ years of experience building and owning production ML systems end-to-end in a real-world environment 
  • Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production 
  • Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale 
  • Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations 
  • Ability to influence technical decisions through clear judgment and collaboration, not formal authority 
  • Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback 
  • Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery 

What's in it for you 

We understand that there is life at work and life outside of work. Here are a few benefits that support us to be our creative best.   

  • Gym discounts 
  • Employee and Family Assistance program 
  • Virtual wellness events 
  • Conferences & training budget 
  • Regular internal training programs 
  • Financial planning with 3% matching Pension  
  • Competitive salary 
  • Annual bonus structure 

The base salary range for this position is CAD $180k - $210k.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings. 

Use of Artificial Intelligence in Hiring: We use artificial intelligence ("AI") in our hiring process, including to screen, assess, or select applicants for this position.

Vacancy Status: This job posting is for an existing vacancy. 

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