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Data Annotation For Ai 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 ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

New

Dialpad

AI Evaluation Engineer

Kitchener, ON · On-site

You will create, configure, and monitor data annotation jobs to keep evaluation and calibration ... Strong analytical skills for investigating failures, comparing outputs, and identifying actionable ...

Dialpad

AI Evaluation Engineer

Kitchener, ON · On-site

You will create, configure, and monitor data annotation jobs to keep evaluation and calibration ... For exceptional talent based in Ontario, Canada the target base salary range for this position is ...

Mercor

Pharmacy Expert - Lexidrug Specialist

Toronto, ON · Remote

CA$75 - CA$120/hr

... data annotation, labeling, or AI evaluation experience Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume * Submit form Resources & Support * For ...

Mercor

Pharmacy Expert - Lexidrug Specialist

Toronto, ON · Remote

CA$75 - CA$120/hr

... data annotation, labeling, or AI evaluation experience Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume * Submit form Resources & Support * For ...

Royal Bank of Canada

Data/AI Engineer

Toronto, ON · On-site

Join our team as a Data/AI Engineer and play a key role in building the data foundation for AI-driven innovation. You'll transform raw, unstructured data into clean, reliable datasets that power ...

Mercor

Nursing Expert - Lexidrug Specialist

Toronto, ON · On-site

CA$75 - CA$110/hr

Prior data annotation, labeling, or AI evaluation experience is a plus Application Process (Takes ... For details about the interview process and platform information, please check: * For any help or ...

Mercor

Video Data Reviewer - Egocentric

Toronto, ON · Remote

CA$20 - CA$25/hr

Preferred * Experience with video annotation, data labeling, computer vision datasets, or ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

New

Royal Bank of Canada

Staff Data/AI Engineer

Toronto, ON · On-site

What's the opportunity? We're looking for a Staff Data/AI Engineer to join RBC Borealis to design and implement AI solutions across Personal Banking & Commercial Banking. In this role, you will build ...

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Ontario

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What are popular job titles related to Data Annotation For Ai jobs in Ontario?

For Data Annotation For Ai jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Annotation For Ai jobs in Ontario look for?

The top searched job categories for Data Annotation For Ai jobs in Ontario are:

Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Network Engineer - Data Annotation

Mercor

Toronto, ON • Remote

CA$50 - CA$70/hr

Full-time

Posted 3 days ago

New

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 network behaviors, issues, anomalies, and incident patterns.
  • Define schemas and structure for large-scale data pipelines that downstream ML models will train on.
  • Interface directly with the client team to ensure data accuracy and relevance.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Current role as a Level 3 / Tier 3 / Principal Support Engineer.
  • Experience with end-customer enterprise networks (switches, APs, firewalls).
  • Proficiency in Wi-Fi/wireless, including Cisco WLC, Aruba, or Meraki.
  • Skills in packet-level troubleshooting using Wireshark, tcpdump, and SPAN captures.
  • Authorization to work in the US or Canada without sponsorship.

Compensation & Legal

  • Individual 1099 contract paid to a personal account.

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.