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Remote Entry Level Data Annotation Jobs in Toronto, ON

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 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 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 - 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 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 ...

All JobsRemote Entry Level Data Annotation JobsRemote Entry Level Data Annotation Jobs in Toronto, ON

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 Toronto, ON? For Remote Entry Level Data Annotation jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Annotation jobs in Toronto, ON look for? The top searched job categories for Remote Entry Level Data Annotation jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Remote Entry Level Data Annotation jobs? Cities near Toronto, ON with the most Remote Entry Level Data Annotation job openings:
Remote Entry Level Data Annotation jobs near you
Language Model Evaluator - Fully Remote | Upto $20/hr Part-time

Language Model Evaluator - Fully Remote | Upto $20/hr Part-time

Mercor

Toronto, ON • Remote

CA$20/hr

Part-time

Posted 3 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: Generalist - English & Punjabi
Type: Contract
Compensation: $15–$20/hour
Location: Remote

Role Responsibilities

  • Conduct fact-checking using trusted public sources and external tools.
  • Generate high-quality human evaluation data by identifying response strengths, areas for improvement, and factual inaccuracies.
  • Assess reasoning quality, clarity, tone, and completeness of responses.
  • Ensure model responses align with expected conversational behavior and system guidelines.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Bachelor's degree
  • Native speaker in Punjabi
  • Significant experience using large language models (LLMs)
  • Excellent writing skills in English
  • Strong attention to detail
  • Background or experience in domains requiring structured analytical thinking

Preferred

  • Experience with RLHF, model evaluation, or data annotation work
  • Experience writing or editing high-quality written content
  • Experience comparing multiple outputs and making fine-grained qualitative judgments

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.