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Data Tagging Jobs in Ontario (NOW HIRING)

ML/AI Developer

Toronto, ON · On-site

CA$65K - CA$140K/yr

Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions. * Develops ML algorithms to analyze huge volumes of historical data to make predictions. * Runs ...

ML/AI Senior Developer

Toronto, ON · On-site

CA$80K - CA$175K/yr

Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions. * Develops ML algorithms to analyze huge volumes of historical data to make predictions. * Runs ...

ML/AI Senior Developer

Toronto, ON · On-site

CA$80K - CA$175K/yr

Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions. * Develops ML algorithms to analyze huge volumes of historical data to make predictions. * Runs ...

AI Knowledge Operations Specialist

Toronto, ON · On-site

CA$90K - CA$130K/yr

Perform markdown cleanup, metadata tagging, taxonomy management, and content migration to improve ... Provide the data underpinning the AI agent quality and risk metrics layer: escaped defect rate ...

Digital Specialist

Toronto, ON · Hybrid

CA$55K - CA$75K/yr

... tagging verification, and campaign launches 2. Strategic Analysis & Critical Thinking * Move beyond basic reporting to apply sharp critical thinking - translating quantitative data into actionable ...

... data and digital marketing platforms. Position Responsibilities: * Validate incoming business ... Document business requirements and route requests to the appropriate delivery teams (M&I, Tagging ...

New

Tagging governance: Establish and enforce tagging standards * FinOps governance: Define policies ... Data skills: Advanced Excel, SQL, and/or BI tools * Executive communication: Ability to translate ...

Data Engineering: Build and maintain ETL pipelines using Python to collect, transform, and ... Automate routine FinOps tasks such as tagging enforcement, anomaly detection, and cost allocations.

MarTech Activation Analyst

Toronto, ON · Hybrid

CA$62K - CA$104K/yr

... data and digital marketing platforms. Position Responsibilities: * Validate incoming business ... Document business requirements and route requests to the appropriate delivery teams (M&I, Tagging ...

New

Product Manager, Platform Enablement

Toronto, ON · On-site +1

CA$65K - CA$75K/yr

Advocate for intuitive design and tagging structures that support how the business sells product ... Strong problem-solving skills, comfortable using performance data to inform priorities. * Strong ...

MarTech Activation Analyst

Waterloo, ON · Hybrid

CA$62K - CA$104K/yr

... data and digital marketing platforms. Position Responsibilities: * Validate incoming business ... Document business requirements and route requests to the appropriate delivery teams (M&I, Tagging ...

New

Showing results 21-40

Data Tagging information

See Ontario salary details

$9

$29

$75

How much do data tagging jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data tagging in Ontario is $29.51, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $41.59 per hour, depending on experience, location, and employer.

What is data tagging?

A Data Tagging job involves labeling or annotating data, such as text, images, audio, or video, to help machine learning models understand patterns and make accurate predictions. Taggers assign relevant metadata, categories, or identifiers to raw data based on predefined guidelines. This process is essential for training AI systems in tasks like image recognition, natural language processing, and content moderation. Attention to detail and consistency are critical in ensuring high-quality, accurate datasets for AI models.

What does a data tagger do?

A typical day for a Data Tagging professional involves reviewing large volumes of data—such as images, video clips, audio, or text—and applying specific labels or annotations according to detailed project guidelines. You’ll likely work with specialized software platforms and may be part of a collaborative team that regularly coordinates to ensure consistency and accuracy. Frequent communication with project managers or data scientists is common to clarify criteria or resolve ambiguities. While the work can be repetitive, it is crucial for the development of AI and machine learning applications, and there are often opportunities to progress into quality assurance, project coordination, or more technical data roles over time.

What skills and qualifications are needed for data tagging?

To excel in a Data Tagging role, attention to detail, consistency, and a basic understanding of data categorization or annotation are essential, often supported by a high school diploma or equivalent. Familiarity with specialized annotation software or data labeling platforms, as well as basic computer literacy, is typically required. Strong time management, communication skills, and the ability to follow detailed instructions help candidates stand out. These abilities ensure that tagged data is accurate, reliable, and ready for use in training machine learning models or improving data-driven processes.

What are popular job titles related to Data Tagging jobs in Ontario?

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

What job categories do people searching Data Tagging jobs in Ontario look for?

The top searched job categories for Data Tagging jobs in Ontario are:

Infographic showing various Data Tagging job openings in Ontario as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $61,383 per year, or $29.5 per hour.

CA$65K - CA$140K/yr

Full-time

Medical, Life, Retirement

Posted 5 days ago


Key responsibilities

  • Researches, builds, and implements scalable artificial intelligence systems capable of learning and making predictions to meet business requirements.

  • Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models.

  • Designs, develops, tests, and optimizes machine learning and deep learning systems, including training and retraining models to improve performance.


Job description

Application Deadline:

09/04/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Data Analytics & Reporting

Researches, builds, and implements scalable artificial intelligence systems capable of learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors, evaluates, and optimizes learning processes to continuously improve high-performance models. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

  • Designs and develops machine learning (ML) and deep learning systems.
  • Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results.
  • Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
  • Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks.
  • Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  • Develops ML algorithms to analyze huge volumes of historical data to make predictions.
  • Runs tests, performs statistical analysis, and interprets test results.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently on a range of complex tasks, which may include unique situations.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

Foundational level of proficiency:

  • Systems Thinking.
  • Mathematics, Statistics & Operations Research.
  • Critical thinking.
  • Creative reasoning.

Intermediate level of proficiency:

  • Computational Thinking and Programming.
  • Deep Learning.
  • Machine Learning.
  • Scaling Models.
  • Continuous Integration and Continuous Delivery/Deployment.
  • ML algorithm.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Data driven decision making.
  • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
  • Technical proficiency gained through education and/or business experience.

Salary:

$65,000.00 - $140,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.