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Ai Data Labeling Jobs in Ontario (NOW HIRING)

Workada

Data Labeling Specialist: Remote Contract

ON · On-site +1

What You'll Do Evaluate outputs from AI models, text, images, video, and documents against detailed ... Join a team helping build the data foundation behind better technology. Workada is an Equal ...

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Ai Data Labeling information

See Ontario salary details

$11

$47

$108

How much do ai data labeling jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai data labeling in Ontario is $47.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $69.95 per hour, depending on experience, location, and employer.

What is an AI data labeling?

An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.

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

To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.

What does an AI data labeling do?

As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.

What are the most commonly searched types of Ai Data Labeling jobs in Ontario? The most popular types of Ai Data Labeling jobs in Ontario are:
What are popular job titles related to Ai Data Labeling jobs in Ontario? For Ai Data Labeling jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Ai Data Labeling jobs in Ontario look for? The top searched job categories for Ai Data Labeling jobs in Ontario are:
Ai Data Labeling jobs near you
Infographic showing various Ai Data Labeling job openings in Ontario as of August 2026, with employment types broken down into 78% Full Time, 9% Part Time, and 13% Contract. Highlights an 74% In-person, 17% Hybrid, and 9% Remote job distribution, with an average salary of $98,328 per year, or $47.3 per hour.

Data Labeling Specialist: Remote Contract

Workada

Collingwood, ON • On-site, Remote

Full-time

Posted 13 days ago

Job description

What You'll Do

Evaluate outputs from AI models, text, images, video, and documents against detailed criteria. Assess quality, spot errors and inconsistencies, and write clear, well-reasoned justifications for your judgments. Every evaluation you complete helps these systems perform better in the real world.

Who We're Looking For

People who write clearly, think critically, and can back up a judgment call with a clear explanation. This role suits people who've done work built around precise written evaluation, UI/UX design, graphic design, photography, video production, editorial or research work, or writing technical specs and requirements.

  • Strong readers and writers with sound judgment
  • Comfortable evaluating creative or technical work against a set of criteria
  • Takes quality seriously and catches what others miss
  • Can follow detailed written guidelines independently

    • Qualifications

  • Bachelor's degree, completed or in progress
  • Excellent written English — clear, precise, well-organized
  • Strong attention to detail
  • At least 1 year of experience in a role built around evaluating or reviewing work against a standard e.g., UI/UX design, graphic design, photography, video production, editorial, research, QA, or technical writing. Equivalent experience will be considered.
  • Must be based in the US or Canada

    • Technical Requirements

  • Desktop or laptop running Windows 10 (or later) or a recent version of macOS. Chromebooks, Linux-based systems, and tablets (e.g., iPad, Surface in tablet mode) are not supported.
  • Stable, high-speed internet (minimum 25 Mbps download / 5 Mbps upload)

    • What We Offer

  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

    • Some of our most reliable, high-performing contributors have grown into roles where they guide and support others, with compensation that reflects the added responsibility. These opportunities depend on performance and how the work is evolving, and we're glad to support people who are a strong fit.

    Ready to apply? Join a team helping build the data foundation behind better technology.

    Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.

    Apply