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Data Labelling Jobs in Ontario (NOW HIRING)

Geotab

Senior Data Scientist

Oakville, ON · On-site

Build scalable evaluation methodologies that replace manual labeling with automated, data-driven assessment approaches. * Combine video, image, and telematics data to develop contextual models that ...

Pro Mach

Aftermarket Label Sales Specialist

Toronto, ON · On-site

CA$150K/yr

Maintain accurate customer, pricing, and opportunity data in CRM systems * Submit sales activity, forecasting, and performance reports as required * Stay current on labeling materials, market trends ...

Warner Records

Director, Streaming & Data

Toronto, ON

CA$100K - CA$130K/yr

Director, Streaming & Data Reports To: President, WMC Department: Digital Strategy Location ... labels in the music industry including Asylum, Atlantic, Big Beat, Canvasback, East West, Elektra ...

Company3

Supervisor Data I/O

Toronto, ON · On-site

Supervisor Data I/O Location : Toronto, ON (Onsite) Pay Range : $25.00 - $29.00 CAD hourly POSITION ... Manage and coordinate all LTO movement, shipping, labeling, and ordering. * Assist in coordinating ...

New

Tjx

Distribution Center Data Clerk

Mississauga, ON · On-site

CA$52K/yr

Create and maintain system logs, reports, tickets, labels, and required management spreadsheets, ensuring proper distribution. * Perform routine preventative maintenance on Data Centre equipment and ...

Tjx

Distribution Center Data Clerk

Brampton, ON

CA$52K/yr

Create and maintain system logs, reports, tickets, labels, and required management spreadsheets, ensuring proper distribution. * Perform routine preventative maintenance on Data Centre equipment and ...

TJX Companies

Distribution Center Data Clerk

Brampton, ON · On-site

CA$52K/yr

Create and maintain system logs, reports, tickets, labels, and required management spreadsheets, ensuring proper distribution. * Perform routine preventative maintenance on Data Centre equipment and ...

Mercor

Network Engineer - Data Annotation

Toronto, ON · Remote

CA$50 - CA$70/hr

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 ...

J.D. Irving

Data Modelling Co-op - Fall 2026

Toronto, ON

CA$25.50 - CA$27.70/hr

... private label. We pride ourselves in our commitment to providing the best quality products and ... Working with Databases and data warehouses * Developing Apps / User Interfaces from scratch ...

J.D. Irving

Data Modelling Co-op - Fall 2026

Toronto, ON

CA$25.50 - CA$27.70/hr

... private label. We pride ourselves in our commitment to providing the best quality products and ... Working with Databases and data warehouses * Developing Apps / User Interfaces from scratch ...

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Data Labelling information

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How much do data labelling jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data labelling in Ontario is $29.39, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $39.90 per hour, depending on experience, location, and employer.

What is a Data Labelling job?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a Data Labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

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

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

What are the most commonly searched types of Data Labelling jobs in Ontario? The most popular types of Data Labelling jobs in Ontario are:
What are popular job titles related to Data Labelling jobs in Ontario? For Data Labelling jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Labelling jobs in Ontario look for? The top searched job categories for Data Labelling jobs in Ontario are:
Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Ontario as of June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $61,127 per year, or $29.4 per hour.

Senior Data Scientist

Geotab

Oakville, ON • On-site

Other

Medical, Dental, Retirement

Posted 26 days ago

Job description

Who you are

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Scientist who will design and build production-ready analytics systems that extract actionable insights from video, image, and sensor data. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do

As a Senior Data Scientist, your key area of responsibility will be evaluating and integrating Vision Language Models (VLMs) into scalable cloud-based processing pipelines, developing robust evaluation frameworks to measure model quality across diverse product use cases, and optimizing end-to-end inference performance for cost, latency, and accuracy. You will need to work closely with Geotab's product and platform teams to deliver computer vision features across safety, compliance, and geospatial applications.

To be successful in this role, you will be a strong team-player with an adaptive mindset to stay current with the rapidly evolving multi-modal AI landscape and the ability to engage effectively at all organizational levels. In addition, the successful candidate will have strong project management and analytical skills, with the ability to identify needs, develop effective solutions, and manage projects from research through production deployment.

How you'll make an impact:
  • Lead the research, evaluation, and integration of Vision Language Models (VLMs) and foundation models to extract actionable insights from video, image, and telematics data.
  • Design experimentation frameworks to systematically benchmark model performance across accuracy, precision, recall, and domain-specific quality metrics.
  • Develop prompt engineering and fine-tuning strategies for multi-modal reasoning tasks, optimizing for visual understanding in real-world operational environments. Build scalable evaluation methodologies that replace manual labeling with automated, data-driven assessment approaches.
  • Combine video, image, and telematics data to develop contextual models that enrich visual insights with sensor telemetry, vehicle dynamics, and geospatial signals.
  • Collaborate with cross-functional product teams to translate business problems into well-scoped data science solutions, from hypothesis through production deployment.
  • Partner with engineering teams to ensure models are production-ready, balancing inference cost, latency, and accuracy at scale.
  • Stay current with advances in vision-language model research and drive adoption of emerging techniques into the product portfolio.
  • Mentor team members on best practices for vision model evaluation, prompt engineering, and pipeline development. Maintain comprehensive documentation of pipeline architectures, evaluation methodologies, and experimental results.
What you'll bring to this role:
  • 5 - 8 years of experience in a Data Scientist, Computer Vision Engineer, or ML Engineer role.
  • Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field (Masters degree is an asset).
  • Proven experience building and deploying computer vision or video analytics pipelines in production environments using Python.
  • Hands-on experience with Vision Language Models (VLMs), large multi-modal models, and cloud-based inference infrastructure (e.g., Ray, Vertex AI, or Azure). Proficiency in writing SQL queries and working with large-scale data (BigQuery, Spark).
  • Experience with evaluation framework design, including ensemble voting approaches and ground truth management.
  • Excellent communication skills for effective collaboration across product, platform, and data science teams
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
 
This posting is for an existing vacancy.
 
Why job seekers choose Geotab:

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

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