ZipRecruiter

Log In

2

Data Labeler Remote Jobs in Toronto, ON (NOW HIRING)

next page

Showing results 1-20

All JobsData Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in Toronto, ON

Data Labeler Remote information

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What are the key skills and qualifications needed to thrive as a remote data labeler?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much does a data labeler remote make?

Remote data labelers typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer additional incentives or flexible schedules, but wages generally align with entry-level data annotation roles in the industry.

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail but typically has lower barriers to entry and limited career advancement without additional skills or certifications.

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

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

What job categories do people searching Data Labeler Remote jobs in Toronto, ON look for?

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

Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 2% Internship, 60% Full Time, 13% Part Time, and 25% Contract. Highlights an 100% Remote job distribution.

Data Labeling Specialist: Remote Contract

Workada

East York, ON • Remote

Full-time

This job post has expired 3 days ago. 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

  • 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

    Technical Requirements

    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

    • undefined

    Apply