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Remote Data Annotation Jobs in Markham, ON (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 ...

New

Mercor

Pharmacy Expert - Lexidrug Specialist

Toronto, ON · Remote

CA$75 - CA$120/hr

Remote Role Responsibilities * Confirm interaction, dosing, or contraindication findings against ... Prior data annotation, labeling, or AI evaluation experience Application Process (Takes 20-30 mins ...

Mercor

Pharmacy Expert - Lexidrug Specialist

Toronto, ON · Remote

CA$75 - CA$120/hr

Remote Role Responsibilities * Confirm interaction, dosing, or contraindication findings against ... Prior data annotation, labeling, or AI evaluation experience Application Process (Takes 20-30 mins ...

Mercor

Video Data Reviewer - Egocentric

Toronto, ON · Remote

CA$20 - CA$25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

New

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 JobsData Annotation JobsRemote Data Annotation JobsRemote Data Annotation Jobs in Markham, ON

Remote Data Annotation information

See Markham, ON salary details

$9

$32

$72

How much do remote data annotation jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote data annotation in Markham, ON is $32.46, according to ZipRecruiter salary data. Most workers in this role earn between $16.62 and $42.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed for remote data annotation?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What is the best remote data annotation company to work for?

Remote data annotation jobs are offered by various companies, including industry leaders like Appen, Lionbridge, and Scale AI, which provide flexible schedules and require attention to detail. The best company depends on factors such as pay, work environment, and project types, so researching reviews and job requirements can help identify suitable options.

How much do remote data annotation jobs pay?

Remote data annotation jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or part-time schedules, with higher rates for specialized skills or tools like labeling software.

What does a remote data annotation specialist do?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What is remote data annotation?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What cities near Markham, ON are hiring for Remote Data Annotation jobs?

Cities near Markham, ON with the most Remote Data Annotation job openings:

Remote Data Annotation jobs near you
Infographic showing various Remote Data Annotation job openings in Markham, ON as of August 2026, with employment types broken down into 50% Full Time, 16% Part Time, 5% Temporary, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $67,509 per year, or $32.5 per hour.

Network Engineer - Data Annotation

Mercor

Toronto, ON • Remote

CA$50 - CA$70/hr

Full-time

Posted yesterday

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.