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Data Rater Jobs in Ontario (NOW HIRING)

BMO Capital Markets

Senior Data Scientist

Toronto, ON

CA$103K - CA$192K/yr

Data Analytics & Reporting This is a 12 month contract hybrid role in Toronto We are seeking a ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Priceline

Senior Data Developer

Toronto, ON

Senior Data Developer ABOUT THE TEAM The Global Platform Engineering (GPE) team, within the Data ... AI and MCP gateway services for model routing, cost and rate limiting, prompt and version ...

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

MP5 Hourly Rate: $80 - $95/hour Duration: 10 Months Hours of work: 35 Location: 889 Brock Rd., Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be responsible ...

Maui Jim

Clerk, Data Entry

Mississauga, ON

CA$19/hr

Hourly Rate of Pay: $19.00 The major function of this position is: Enter into the computer ... Technical or data entry background. Listed below are the particular skills preferred for this ...

Cna

Senior Data Analytics Consultant

Toronto, ON

CA$90K - CA$105K/yr

Contribute to actuarial data modernization and tooling initiatives, including development of rating engine requirements, data architecture, and integration of analytics tools. * Other ad hoc data ...

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All JobsData Rater JobsData Rater Jobs in Ontario

Data Rater information

See Ontario salary details

$10

$28

$73

How much do data rater jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data rater in Ontario is $28.42, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $31.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Rater, and why are they important?

To thrive as a Data Rater, you need strong analytical abilities, attention to detail, and proficiency in following detailed guidelines, often requiring at least a high school diploma or equivalent. Familiarity with web-based evaluation tools, spreadsheets, and sometimes proprietary rating platforms is typically expected. Excellent time management, critical thinking, and effective written communication are valuable soft skills for excelling in this role. These skills ensure accurate and consistent data evaluation, which directly impacts the quality and effectiveness of machine learning models and search algorithms.

What are some common challenges Data Raters face, and how can they effectively manage them?

Data Raters often encounter challenges such as maintaining consistency in their evaluations, understanding complex guidelines, and managing repetitive tasks. To effectively handle these, it's important to regularly review guideline updates, seek clarification from team leads when unsure, and use productivity techniques to stay focused during long periods of rating. Collaborating with peers through forums or team meetings can also help share best practices and resolve ambiguities.

What is the difference between Data Rater vs Data Annotator?

AspectData RaterData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma; some roles may prefer familiarity with annotation tools
Work EnvironmentRemote or office-based; often involves reviewing data for qualityRemote or office-based; involves labeling or tagging data for machine learning
Employer & Industry UsageTech companies, data services, AI firmsAI and machine learning companies, data labeling services

Data Raters primarily review and assess data quality, ensuring accuracy and consistency, while Data Annotators focus on labeling data to train machine learning models. Both roles are essential in AI development, often sharing similar skills and work environments, but differ in their specific tasks and objectives.

What are Data Raters?

Data Raters are professionals who evaluate and provide feedback on data, such as search engine results, advertisements, and social media content, to help improve the accuracy and relevance of algorithms. They often work with large tech companies to assess whether content meets specific quality guidelines and user intent. Data Raters typically work remotely on a part-time or flexible schedule, and their work is crucial in training artificial intelligence systems to better understand human preferences.
What are popular job titles related to Data Rater jobs in Ontario? For Data Rater jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Rater jobs in Ontario look for? The top searched job categories for Data Rater jobs in Ontario are:
What cities in Ontario are hiring for Data Rater jobs? Cities in Ontario with the most Data Rater job openings:
Data Rater jobs near you

Senior Data Scientist

BMO Capital Markets

Toronto, ON

CA$103K - CA$192K/yr

Full-time

Medical, Life, Retirement

Posted 10 days ago

Job description

Application Deadline:

06/29/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a 12 month contract hybrid role in Toronto

We are seeking a Senior Data Scientist to join our team on a 12-month contract to support key machine learning initiative.

Responsibilities:

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
  • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
  • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
  • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
  • Operates at agroup/enterprise-widelevel and serves as a specialist resource to senior leaders and stakeholders.
  • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
  • Implements changes in response to shifting trends.
  • 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

  • Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
  • Strong programming skills in Python or SAS
  • Proficiency in both SQL and Big data technologies (Hadoop, Spark)
  • Experience working in cloud based modeling environment a plus (ie. AWS Sagemaker, AzureML, etc)
  • Experience in automation and scheduling of data pipeline for end-to-end scoring solutions
  • Experience developing customer discretionary pricing optimization models is an asset

Salary:

$103,200.00 - $192,000.00

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.

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