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Data Annotation Tech Remote Jobs in Ontario (NOW HIRING)

Mercor

Network Engineer - Data Annotation

Toronto, ON · Remote

CA$50 - CA$70/hr

Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ... Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ...

Mercor

Legal Professional - Fully Remote

Toronto, ON · Remote

CA$55 - CA$135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Bilingual Evaluator - LLM Specialist

Toronto, ON · Remote

CA$15 - CA$20/hr

Remote Role Responsibilities * Conduct fact-checking using trusted public sources and external ... Prior experience with RLHF, model evaluation, or data annotation work * Experience writing or ...

Mercor

Bilingual Evaluator - Odia Specialist

Toronto, ON · Remote

CA$15 - CA$20/hr

Remote Role Responsibilities * Conduct fact-checking using trusted public sources and external ... Prior experience with RLHF, model evaluation, or data annotation work . * Experience writing or ...

Mercor

Bilingual Evaluator - Marathi Expert

Toronto, ON · Remote

CA$15 - CA$20/hr

Remote Role Responsibilities * Conduct fact-checking using trusted public sources and external ... Prior experience with RLHF, model evaluation, or data annotation work . * Experience writing or ...

Mercor

Bilingual Analyst - Punjabi Expert

Toronto, ON · Remote

CA$15 - CA$20/hr

Remote Role Responsibilities * Conduct fact-checking using trusted public sources and external ... Experience with RLHF, model evaluation, or data annotation work * Experience writing or editing ...

Mercor

Legal Expert - Court Opinion Analyst

Toronto, ON · On-site +1

CA$55 - CA$135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Bilingual Analyst - Bengali Expert

Toronto, ON · Remote

CA$15 - CA$20/hr

Remote Role Responsibilities * Conduct fact-checking using trusted public sources and external ... Prior experience with RLHF, model evaluation, or data annotation work * Experience writing or ...

Mercor

Associate Attorney

Toronto, ON · On-site +1

CA$55 - CA$135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Senior Legal Analyst

Toronto, ON · On-site +1

CA$55 - CA$135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Senior Attorney | Upto $135/hr

Toronto, ON · Remote

CA$135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Legal Analyst | Upto $135/hr

Toronto, ON · Remote

CA$135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Attorney

Toronto, ON · On-site +1

CA$55 - CA$135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

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Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are the most commonly searched types of Data Annotation Tech jobs in Ontario? The most popular types of Data Annotation Tech jobs in Ontario are:
What are popular job titles related to Data Annotation Tech Remote jobs in Ontario? For Data Annotation Tech Remote jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Ontario look for? The top searched job categories for Data Annotation Tech Remote jobs in Ontario are:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Ontario as of June 2026, with employment types broken down into 34% Full Time, 39% Part Time, and 27% Contract. Highlights an 100% Remote job distribution.

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.