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Data Annotation Jobs in Ontario (NOW HIRING)

Prior 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 ...

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Prior 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 ...

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Prior 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 ...

Apply Early

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 ...

Apply Early

Prior 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 ...

Apply Early

Prior 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 ...

Apply Early

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 ...

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Data Annotation information

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.

Does data annotation pay well?

Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

How hard is it to get hired by data annotation?

Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What are the most commonly searched types of Data Annotation jobs in Ontario? The most popular types of Data Annotation jobs in Ontario are:
What are popular job titles related to Data Annotation jobs in Ontario? For Data Annotation jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Ontario look for? The top searched job categories for Data Annotation jobs in Ontario are:
What cities in Ontario are hiring for Data Annotation jobs? Cities in Ontario with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in Ontario as of June 2026, with employment types broken down into 3% As Needed, 50% Full Time, 38% Part Time, and 9% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Image Data Technician (Temporary, Entry-Level)

BinSentry

Kitchener, ON

$18.50/hr

Temporary

Posted 11 days ago


Job description

About BinSentry

BinSentry is an extremely fast-growing ag-tech company started here in KW. BinSentry is focused on providing solutions for the agriculture supply chain that help increase efficiency, reduce costs, and enhance profitability. As a leader in the use of artificial intelligence, BinSentry offers technology solutions that pair best-in-class optical sensors with user-friendly software to provide our customers with enhanced forecasting and decision-making capabilities.

With our technology, feed mills, commercial grain handling facilities, and protein producers are enhancing feed ordering efficiency, raising healthier animals, improving employee safety, reducing their environmental footprint and - most significantly - uncovering new savings. Today, BinSentry is monitoring more than 64,000 bins in real time across North America. When it comes to the future of agricultural supply chain management, BinSentry is leading the way. For more information visit www.binsentry.com


As an Image Data Technician, you will play a key role in improving our AI models by labeling and annotating image data. This entry-level role is temporary, making it ideal for students, young adults, or anyone looking to gain hands-on experience with AI technology.


Key Responsibilities:

  • Label and annotate images using internal software tools.
  • Follow guidelines and feedback to ensure consistent and accurate data.
  • Support the AI team in maintaining high-quality datasets.
  • Document changes to our annotation processes and practices


Qualifications:

  • Strong attention to detail and ability to focus on repetitive tasks.
  • Comfortable learning and using custom software tools.
  • Ability to create clear written communication
  • Ability to work in-office in Kitchener, Ontario.


Why Join Us:

  • Gain practical experience in AI and data annotation.
  • Contribute to projects that directly support AI model development.
  • Work in a collaborative, fast-paced professional environment.


This is a temporary, entry-level opportunity perfect for someone looking to gain exposure to AI data work in a professional setting.


Duration: 4-6 weeks to start, potential for extension

Compensation: $18.50/hour


We use artificial intelligence tools to support parts of our recruitment process, such as screening or assessing applications. Final hiring decisions are made by our hiring team.


This posting is for an existing vacancy.