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Data Annotation Jobs in Toronto, ON (NOW HIRING)

Mercor

Attorney

Toronto, ON · On-site +1

CA$55 - CA$135/hr

Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener . Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume

Mercor

Network Specialist - Fully Remote

Toronto, ON · Remote

CA$50 - CA$70/hr

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Mercor

Senior Network Engineer | Upto $70/hr

Toronto, ON · Remote

CA$70/hr

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Mercor

Network Engineer

Toronto, ON · Remote

CA$50 - CA$70/hr

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Mercor

Network Support Engineer

Toronto, ON · Remote

CA$50 - CA$70/hr

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Mercor

Network System Engineer

Toronto, ON · Remote

CA$50 - CA$70/hr

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

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 ...

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 ...

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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 Jun 12, 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.

Is data annotation a legitimate?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of their AI development teams.

What does a typical workday look like for someone in a Data Annotation role?

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.

What is a Data Annotation job?

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 the Data Annotation position, and why are they important?

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 does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.

Do people actually make money on data annotation?

Data annotation jobs can provide a source of income, with pay rates varying based on the complexity of tasks, platform, and experience. Many annotators earn hourly or per-task wages, but earnings often depend on the volume of work completed and the employer's pay structure.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role generally depends on the employer's requirements, such as attention to detail and basic computer skills. Many positions are entry-level and may not require prior experience or certifications, making them accessible to a wide range of applicants. However, competition can vary based on the number of available jobs and the quality of applicants.
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 job categories do people searching Data Annotation jobs in Toronto, ON look for? 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 June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 52% Physical, 4% Hybrid, and 44% Remote job distribution, with an average salary of $50,091 per year, or $24.1 per hour.

Attorney

Mercor

Toronto, ON • On-site, Remote

CA$55 - CA$135/hr

Full-time

Posted 22 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Legal Experts
Type: Contract
Compensation: $55–$135/hour
Location: Remote
Commitment: 15 hours/week

Role Responsibilities

  • Review and annotate U.S. court opinions and legal filings sourced from CourtListener.
  • Apply legal judgment to evaluate case outcomes, reasoning quality, and document classification.
  • Author legal reasoning problems grounded in real court opinions, orders, and judicial records.
  • Support the development of AI systems trained on legal reasoning and judicial language.
  • Complete structured tasks with consistency and accuracy.

Qualifications

Must-Have

  • 3+ years of professional experience practicing law at a law firm, in-house legal department, government agency, or legal research organization.
  • Hold a J.D., LL.M. or equivalent legal degree from a top U.S. university.
  • Experience with U.S. federal or state court systems.
  • Strong reading comprehension of legal texts.
  • Ability to commit ~15 hours/week.

Preferred

  • Prior experience in legal data annotation or AI/ML projects.
  • Familiarity with CourtListener.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.