1

Video Labelling Jobs in Ontario (NOW HIRING)

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 ...

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 ...

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 ...

Showing results 21-40

Video Labelling information

What does a video labelling do?

A typical day in Video Labelling involves reviewing video footage, identifying and annotating specific objects or events according to project guidelines, and entering this data into specialized software tools. Team members often collaborate with data scientists, engineers, or quality assurance leads to ensure accuracy and consistency in the annotations. Depending on the project and employer, you may work independently or as part of a larger team, sometimes with set quotas or deadlines. This work is crucial for developing and refining AI and machine learning models, making attention to detail and adherence to standards especially important. Over time, experienced video labelling professionals may progress to quality assurance roles or team leads overseeing larger annotation projects.

What are the key skills and qualifications needed to thrive in video labelling, and why are they important?

To thrive as a Video Labelling professional, you should have excellent attention to detail, basic computer proficiency, and familiarity with visual content analysis. Knowledge of annotation platforms, video editing software, or AI training tools is often required, and experience with data labelling systems can be beneficial. Strong communication, reliability, and the ability to follow detailed guidelines are important soft skills for this role. These abilities ensure high-quality, consistent data annotation that directly supports machine learning and computer vision projects.

What is a video labelling?

A Video Labelling job involves annotating or tagging objects, actions, or events in video footage to train machine learning models. This process helps AI systems recognize and interpret visual data accurately. Tasks may include drawing bounding boxes, classifying scenes, or adding timestamps for specific events. Video labelling is commonly used in industries like autonomous driving, security surveillance, and content moderation.

What are popular job titles related to Video Labelling jobs in Ontario? For Video Labelling jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Video Labelling jobs in Ontario look for? The top searched job categories for Video Labelling jobs in Ontario are:
Infographic showing various Video Labelling job openings in Ontario as of August 2026, with employment types broken down into 6% Internship, 66% Full Time, 18% Part Time, and 10% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution.

Data Labeling Specialist: Remote Contract

Workada

Sarnia, ON โ€ข On-site, Remote

Full-time

Posted 11 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 โ€” 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.