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Labelling Jobs in Ontario (NOW HIRING)

At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent ...

At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent ...

At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent ...

Showing results 41-60

Labelling information

See Ontario salary details

$8

$25

$56

How much do labelling jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for labelling in Ontario is $25.16, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $28.85 per hour, depending on experience, location, and employer.

What is a labelling job?

Labelling jobs involve identifying and tagging data—such as images, text, audio, or video—with relevant information or categories. This process is essential for training machine learning models, as the labelled data is used to teach algorithms how to recognize patterns and make accurate predictions. Labelling tasks can range from simple image annotation to more complex tasks like transcribing audio or categorizing content. Often, these positions are remote and may be offered by companies building AI systems or data platforms. Attention to detail and the ability to follow guidelines are important skills for labelling jobs.

What skills and qualifications are needed to thrive as a labelling specialist?

To thrive as a Labelling Specialist, you need attention to detail, knowledge of regulatory requirements, and often a background in science or quality assurance. Familiarity with labelling software, document management systems, and regulatory databases is typically required, along with certifications like RAC (Regulatory Affairs Certification) being advantageous. Strong organizational skills, effective communication, and the ability to work cross-functionally are important soft skills for this position. These skills ensure accurate, compliant, and timely product labelling, which is critical for regulatory approval and market success.

What are common challenges faced in a labelling role, and how can they be overcome?

A common challenge in labelling roles is maintaining accuracy and consistency, especially when handling large volumes of products or data. Attention to detail is crucial, as errors can affect compliance, safety, or downstream processes. To overcome these challenges, organizations often implement quality checks, clear guidelines, and ongoing training. Regular communication with supervisors and team members also helps clarify expectations and quickly resolve any uncertainties.

What is the difference between Labelling vs Packaging Operator?

AspectLabellingPackaging Operator
Required credentialsTypically no formal certifications, but attention to detail is essentialMay require safety training or certifications related to machinery
Work environmentIndoor, detail-oriented, quality control settingIndoor, active environment operating packaging machinery
Employer and industry usageManufacturing, food, pharmaceuticals, consumer goodsManufacturing, food, pharmaceuticals, consumer goods
Common search and comparison intentUnderstanding labeling roles and responsibilitiesUnderstanding packaging processes and machinery operation

Labelling involves applying labels to products or packaging, focusing on accuracy and compliance. Packaging Operators handle machinery to package products, ensuring efficiency and safety. While both roles are integral to manufacturing, labelling emphasizes detail and quality control, whereas packaging operators focus on operational efficiency and machinery handling.

Is data labeling a good career?

Data labeling is a growing entry-level job in the tech industry that involves annotating data for machine learning models. It typically requires attention to detail and basic computer skills, and can offer flexible schedules, but often offers low to moderate pay and limited advancement opportunities.

What are the most commonly searched types of Labelling jobs in Ontario?

The most popular types of Labelling jobs in Ontario are:

Infographic showing various Labelling job openings in Ontario as of August 2026, with employment types broken down into 66% Full Time, 31% Part Time, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $52,339 per year, or $25.2 per hour.

Data Labeling Specialist: Remote Contract

Workada

Uxbridge, ON • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful.

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.