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Data Annotation Jobs in Toronto, ON (NOW HIRING)

Mercor

Pharmacy Expert - Lexidrug Specialist

Toronto, ON · Remote

CA$75 - CA$120/hr

Prior data annotation, labeling, or AI evaluation experience Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume * Submit form Resources & Support

Mercor

Nursing Expert - Lexidrug Specialist

Toronto, ON

CA$75 - CA$110/hr

Prior data annotation, labeling, or AI evaluation experience is a plus Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume * Submit form Resources ...

Waabi

Senior / Staff Software Engineer, Web Tools

Toronto, ON · On-site +1

CA$141K - CA$249K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... tools, data annotation tools, dataset curation tools, result comparison tools, and more. Qualifications: - Bachelor's degree in Computer Science, Computer Engineering or related engineering ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

OpenSpace

Sr. Computer Vision Engineer

Toronto, ON

CA$168K - CA$220K/yr

Oversee dataset creation, curation, and annotation to ensure high-quality training and validation data. * Monitor system performance in production, ensuring scalability and robustness. What we are ...

Palona AI

AI Modeling Engineer

Toronto, ON · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Create and maintain representative datasets from simulations, human annotation, production feedback, and difficult edge cases while protecting sensitive data. * Evaluate frontier and open-source ...

New

Palona AI

AI Modeling Engineer

Toronto, ON

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Create and maintain representative datasets from simulations, human annotation, production feedback, and difficult edge cases while protecting sensitive data. * Evaluate frontier and open-source ...

Magna

Engineer, AI & Software Testing

Toronto, ON · Hybrid

CA$95K - CA$145K/yr

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 ...

All JobsData Annotation JobsData Annotation Jobs in Toronto, ON

Data Annotation information

See Toronto, ON salary details

$8

$24

$51

How much do data annotation jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data annotation in Toronto, ON is $24.08, according to ZipRecruiter salary data. Most workers in this role earn between $16.29 and $28.68 per hour, depending on experience, location, and employer.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What are the most commonly searched types of Data Annotation jobs in Toronto, ON?

The most popular types of Data Annotation jobs in Toronto, ON are:

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

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

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

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Toronto, ON as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 29% In-person, 29% Hybrid, and 42% Remote job distribution, with an average salary of $50,091 per year, or $24.1 per hour.

Software Engineer, ML Infrastructure

Serve Robotics

Toronto, ON • Remote

$155K - $190K/yr

Full-time

Re-posted 20 days ago

Job description

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.

Responsibilities

  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.

  • Build data discovery features for the platform.

  • Create and maintain search features such as natural language querying

  • Develop and maintain our orchestration and scheduling systems.

  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management

  • Build integrations with annotation providers to efficiently review large scale data preannotations

  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications

  • BS or MS in computer science with focus in data engineering and/or machine learning

  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows

  • Experience building data mining and search capabilities

  • Experience with both Python and SQL is required

  • Solid understanding of data distributions and their impact on ML Models

  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases

  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out

  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)

  • Experience working with Multi Modal data (Lidar, Camera, etc)

  • Experience with robotics systems

  • Experience optimizing large scale vector databases

Compensation Range: $155K - $190K