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Remote Entry Level Data Annotation Jobs in Ontario

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

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 - 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 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

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 - 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

Network Specialist - Fully Remote

Toronto, ON · Remote

CA$50 - CA$70/hr

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 ...

Mercor

Network Engineer

Toronto, ON · Remote

CA$50 - CA$70/hr

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 ...

Mercor

Senior Network Engineer | Upto $70/hr

Toronto, ON · Remote

CA$70/hr

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 ...

Mercor

Network Support Engineer

Toronto, ON · Remote

CA$50 - CA$70/hr

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 ...

Mercor

Network System Engineer

Toronto, ON · Remote

CA$50 - CA$70/hr

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 ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Coordinate data collection and annotation efforts. * Work with real-time data and content coming ...

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All JobsData Annotation JobsRemote Entry Level Data Annotation JobsRemote Entry Level Data Annotation Jobs in Ontario

Remote Entry Level Data Annotation information

What are the key skills and qualifications needed to thrive as a Remote Entry Level Data Annotation specialist, and why are they important?

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

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

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What are some common challenges faced by remote entry-level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is a Remote Entry Level Data Annotation job?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.
What are popular job titles related to Remote Entry Level Data Annotation jobs in Ontario? For Remote Entry Level Data Annotation jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Annotation jobs in Ontario look for? The top searched job categories for Remote Entry Level Data Annotation jobs in Ontario are:
What cities in Ontario are hiring for Remote Entry Level Data Annotation jobs? Cities in Ontario with the most Remote Entry Level Data Annotation job openings:
Remote Entry Level Data Annotation jobs near you
Infographic showing various Remote Entry Level Data Annotation job openings in Ontario as of June 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Temporary. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Network Engineer - Data Annotation

Mercor

Toronto, ON • Remote

CA$50 - CA$70/hr

Full-time

Posted 7 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.