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Remote Data Labeling Jobs in Ontario (NOW HIRING)

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 key behaviors ...

Mercor

Network Specialist - Fully Remote

Toronto, ON · Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Label and classify key behaviors, issues, and anomalies in network data. * Help define schemas and ...

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 ...

Mercor

Network System Engineer

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 key behaviors ...

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

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 ...

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 ...

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

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 ...

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 ...

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All JobsRemote Data Labeling JobsRemote Data Labeling Jobs in Ontario

Remote Data Labeling information

See Ontario salary details

$10

$34

$76

How much do remote data labeling jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for remote data labeling in Ontario is $34.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $46.39 per hour, depending on experience, location, and employer.

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

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

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

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is a Remote Data Labeling job?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in Ontario? The most popular types of Data Labeling jobs in Ontario are:
What are popular job titles related to Remote Data Labeling jobs in Ontario? For Remote Data Labeling jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling jobs in Ontario look for? The top searched job categories for Remote Data Labeling jobs in Ontario are:
What cities in Ontario are hiring for Remote Data Labeling jobs? Cities in Ontario with the most Remote Data Labeling job openings:
Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Ontario as of June 2026, with employment types broken down into 61% Full Time, 21% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $71,440 per year, or $34.3 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 2 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.