ZipRecruiter

Log In

2

Remote Data Labelling Jobs in Ontario (NOW HIRING)

Mercor

Security Analyst - Fully Remote

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

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 ...

New

Spoonity

Product Manager

Ottawa, ON · On-site +1

Remote / Hybrid - Ottawa Company:Spoonity, Inc Help us build the next generation of our platform ... About Spoonity Spoonity is a leading provider ofwhite-label loyalty and gift card solutionsfor mid ...

Mercor

Security Analyst

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

Mercor

Cybersecurity Specialist - AI Systems

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

Mercor

Information Security Analyst

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

Mercor

Senior Security Analyst

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

Mercor

Penetration Tester | Upto $2150 Part-time

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

Mercor

Special Education Expert - IEP Specialist

Toronto, ON · On-site +1

CA$850 - CA$1.0K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to IEP goal writing ... Annotate, label, and validate data across special education use cases, ensuring compliance with ...

Smooth Commerce

Senior React Developer

Toronto, ON · On-site +1

CA$85K - CA$115K/yr

Toronto/Remote Type: Hybrid Experience Level: Mid-level to Senior (minimum 7 years of experience ... As a dynamic B2B SaaS platform, Smooth Commerce specializes in first-party white label web and app ...

Atlas Copco

Ensure that CRM data is meticulously maintained and updated daily, supporting effective pipeline ... Lead Private Label initiatives by coordinating product adaptations, documentation, and packaging ...

All JobsData Labelling JobsRemote Data Labelling JobsRemote Data Labelling Jobs in Ontario

Remote Data Labelling information

See Ontario salary details

$10

$39

$81

How much do remote data labelling jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote data labelling in Ontario is $39.30, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $55.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Labelling position, and why are they important?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

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

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a Remote Data Labelling job?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are popular job titles related to Remote Data Labelling jobs in Ontario? For Remote Data Labelling jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Data Labelling jobs in Ontario look for? The top searched job categories for Remote Data Labelling jobs in Ontario are:
What cities in Ontario are hiring for Remote Data Labelling jobs? Cities in Ontario with the most Remote Data Labelling job openings:
Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Ontario as of July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,746 per year, or $39.3 per hour.
Healthcare Workflow Specialist - Fully Remote | Upto $80/hr

Healthcare Workflow Specialist - Fully Remote | Upto $80/hr

Mercor

Toronto, ON • Remote

CA$80/hr

Full-time

Posted 13 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: Registered Nurses (Data labelling and training)
Type: Contract
Compensation: $60–$80/hour
Location: Remote

Role Responsibilities

  • Review and assess clinical documentation for accuracy, completeness, and quality.
  • Analyze healthcare workflows and recommend process improvements.
  • Interpret patient records and clinical notes to support product development.
  • Identify documentation gaps, inconsistencies, and edge cases.
  • Collaborate with product, engineering, and operations teams to refine AI-driven healthcare tools.
  • Ensure adherence to healthcare regulations, policies, and best practices.

Qualifications

Must-Have

  • Active Registered Nurse (RN) license.
  • 3–5+ years of clinical nursing experience.
  • Strong understanding of clinical documentation and healthcare workflows.
  • Experience working with EHR systems (Epic, Cerner, Meditech, etc.).
  • Excellent analytical, communication, and problem-solving skills.

Preferred

  • Experience in CDI, case management, utilization review, or quality improvement.
  • Exposure to healthcare technology, AI tools, or digital health products.
  • Ability to collaborate effectively with cross-functional teams.

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.