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Data Labeler Remote Jobs in Ontario (NOW HIRING)

Mercor

Video Data Reviewer - Egocentric

Toronto, ON · Remote

CA$20 - CA$25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

Mercor

Video Data Reviewer - Egocentric

Toronto, ON · Remote

CA$20 - CA$25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

Mercor

Network Engineer - Data Annotation

Toronto, ON · Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. * Label and classify network ...

Mercor

Network Engineer - Data Annotation

Toronto, ON · Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. * Label and classify network ...

Autodesk

Senior Manager, Data Security

Toronto, ON · On-site +1

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... labeling approaches * Experience designing and operating DLP controls across endpoints, network ...

Welocalize

French Gen AI Trainer

Toronto, ON · Remote

Annotate, categorize, or label text, audio, images, video, or other data where required. * Provide ... Fully remote in Canada with complete schedule flexibility * Employment Type: Freelance * Pay Rate ...

Mercor

Pharmacy Expert - Lexidrug Specialist

Toronto, ON · Remote

CA$75 - CA$120/hr

Remote Role Responsibilities * Confirm interaction, dosing, or contraindication findings against ... Prior data annotation, labeling, or AI evaluation experience Application Process (Takes 20-30 mins ...

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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 Ontario?

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

What job categories do people searching Data Labeler Remote jobs in Ontario look for?

The top searched job categories for Data Labeler Remote jobs in Ontario are:

What cities in Ontario are hiring for Data Labeler Remote jobs?

Cities in Ontario with the most Data Labeler Remote job openings:

Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Ontario as of August 2026, with employment types broken down into 36% Full Time, and 64% Part Time. Highlights an 100% Remote job distribution.

Visual Data Analyst - Fully Remote | Upto $35/hr

Toronto, ON • Remote

Mercor
See more jobs at Mercorexternal

CA$35/hr

Full-time

Posted 15 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: Image Reasoning Generalist
Type: Contract
Compensation: $35/hour
Location: Remote

Role Responsibilities

  • Find images that may cause AI models to count incorrectly. Use original, public domain, or AI-generated images.
  • Identify elements that might confuse models, such as misleading text or similar-looking objects.
  • Test images with AI models using the prompt: "How many X are there? Return an integer."
  • Write additional prompts to provide context and label tasks effectively.
  • Work independently and asynchronously to ensure accuracy and consistency in task completion.

Qualifications

Must-Have

  • Strong written English skills for clear and understandable prompts.
  • Good attention to detail to identify potential model confusion in images.
  • Consistency and reliability in handling multiple tasks.

Preferred

  • Experience with photography, image editing, data labeling, or other detail-focused work.

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.