ZipRecruiter

Log In

2

Remote Data Labelling 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

Network Support 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

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

Network 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

Senior Network Engineer | Upto $70/hr

Toronto, ON · Remote

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

Special Education Expert - IEP Specialist

Toronto, ON · On-site +1

CA$850 - CA$1K/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

Security Analyst

Toronto, ON · Remote

CA$1K - CA$2K/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$1K - CA$2K/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

Retail Banking Expert - Compliance

Toronto, ON · Remote

CA$1K - CA$1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to consumer lending ... Annotate, label, and validate data across retail banking use cases like credit decisioning, KYC/AML ...

CheapOair.ca

Technical Product Manager

Toronto, ON · Remote

White Label & Multi-Tenancy Management · Own the "Configuration Engine" that allows customers to ... Strong data-driven approach using tools like Google Analytics, Mixpanel, or SQL to identify ...

next page

Showing results 1-20

All 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 Jun 10, 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 June 2026, with employment types broken down into 2% As Needed, 76% Full Time, 11% Part Time, 4% Temporary, 6% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $81,746 per year, or $39.3 per hour.

Network Engineer - Data Annotation

Mercor

Toronto, ON • Remote

CA$50 - CA$70/hr

Full-time

Posted 8 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: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: 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, issues, and anomalies in network data.
  • Help define schemas and structure for large-scale data pipelines.
  • Interface directly with the client team to ensure data quality and relevance.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
  • Comfort with interpreting logs, events, and time-series metrics.
  • Curiosity about how raw infrastructure data becomes machine learning input.

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.