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Data Labeling Jobs in Ontario (NOW HIRING)

NRI Distribution Inc.

Data Entry Clerk

Brampton, ON · On-site

... data and maintaining integrity of all documents. You'll be working with products from awesome ... Preferred knowledge of creating SSCC labels * Must have physical ability to carry out essential job ...

ERIS Information Inc.

Data Manager

Toronto, ON · On-site

CA$65K - CA$75K/yr

Develop and maintain standards for: technical strategies used in data pipeline procedures under varying data conditions, naming conventions and acronyms for report labels, other processes and ...

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All JobsData Labeling JobsData Labeling Jobs in Ontario

Data Labeling information

See Ontario salary details

$10

$24

$57

How much do data labeling jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data labeling in Ontario is $24.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $28.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Labeling position, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is a Data Labeling job?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a Data Labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools, and may be performed remotely or in a controlled environment.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Some positions may offer freelance or project-based pay, with rates varying accordingly.

Is data labeling hard?

Data labeling can be challenging depending on the complexity of the data and the accuracy required. It often involves attention to detail, understanding of the data context, and sometimes the use of labeling tools or software. The difficulty varies based on the project and the level of expertise needed.

Is data labelling a good career?

Data labeling is a foundational role in machine learning and AI development, involving annotating data to improve model accuracy. It often requires attention to detail, basic technical skills, and can offer flexible schedules, but typically has lower entry barriers and pay compared to more advanced tech roles.
What are the most commonly searched types of Data Labeling jobs in Ontario? The most popular types of Data Labeling jobs in Ontario are:
What are popular job titles related to Data Labeling jobs in Ontario? For Data Labeling jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in Ontario look for? The top searched job categories for Data Labeling jobs in Ontario are:
Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Ontario as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 4% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $50,981 per year, or $24.5 per hour.

IT Security Design Specialist - Host Secruity

Talent Transformation Group Inc

Ottawa, ON

$40 - $70/hr

Full-time

Posted 17 days ago

Job description

Working on a project with the Department of National Defence, the IT Security Design Specialist will be responsible for developing, installing, configuring, and testing endpoint protection and network security technologies.

Required capabilities include:

  • A minimum of three years of experience developing, installing, configuring, and testing any of the following endpoint protection security capabilities in an enterprise IT environment.
  • A minimum of three years of combined experience developing and implementing network security solutions.
  • A minimum of three years of experience implementing Microsoft security capabilities
  • A minimum of three years of experience implementing McAfee/Trellix host-based endpoint security policies
  • Experience supporting a minimum of 30,000 workstations across multiple geographies
  • Demonstrated work experience configuring at least 5 of the following: Anti-Virus; Data Loss Prevention (DLP); Data Labeling, Enterprise Data Rights Management (EDRM); Endpoint Detection and Response (EDR); Host Firewall, Malware Analysis/Reverse Engineering; Application Control; Host Intrusion Prevention; Data labeling and protection; User and Entity Behaviour Analytics (UEBA); Full Disk Encryption (FDE); Removable Media Encryption (RME)Endpoint Protection
  • Demonstrated work experience implementing at least 5 of the following: IDS/IPS; Firewalls/UTMs; Full Packet Capture; Proxies; Load Balancers; Matrix Switches/Taps; Database Activity Monitoring; Network Access Control (802.1x); and/or Other Content Inspection systems.
  • Must hold at least one of the following certifications: ISC2 Certified Information System Security Professional (CISSP); ISC2 Certified Cloud Security Professional (CCSP); ISC2 Systems Security Certified Professional (SSCP); Global Information Assurance Certification (GIAC) certification.
  • Experience working for a Federal or provincial government client is considered an asset
  • Must have or qualify for a secret-level security clearance with PSPC.