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Data Rater Jobs in Ontario (NOW HIRING)

CA$70 - CA$75/hr

Hybrid - 3 days onsite / 2 days remote (subject to change) Contract: 6 month contract Pay Rate: $70 - $75/hr depending on experience. About the Role Our client is looking for an experienced Data ...

Vice President, Data Scientist

Toronto, ON ยท On-site

$120 - $150/hr

As a Data Scientist, you will be responsible for developing and implementing advanced analytics and ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Data Analytics & Reporting We are seeking a Senior Manager to join our team on a 12-month contract ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Big Data Engineer

Toronto, ON ยท On-site

CA$110K - CA$130K/yr

We also market insightful property and data solutions, as well as practice management automation to ... Corporate Discounts & GoodLife Group Rate Membership * Employee Assistance Program - for you and ...

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 ...

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 ...

... rate by FY28. As a Staff Data/AI Engineer, you will build and scale an AI-driven decisioning system that delivers hyper-personalized client experiences, ensuring the right action, at the right time ...

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 ...

Senior Data Analytics Consultant

Toronto, ON ยท On-site

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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Data Rater information

See Ontario salary details

$10

$28

$73

How much do data rater jobs pay per hour?

As of Jul 16, 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 cities in Ontario are hiring for Data Rater jobs? Cities in Ontario with the most Data Rater job openings:

Financial Data Analyst

NorthLake Financial ULC

Barrie, ON โ€ข On-site

Full-time

Medical, Dental

Posted 13 days ago


Job description

Salary: Starting at $50,000 annually

About Northlake Financial

Northlake Financial team is growing! If you are a committed and collaborative professional looking to contribute to a hard-working, innovative team, this opportunity is for you.


Why Work for us?

Northlake understands the needs of its employees. Northlake Financial is revolutionizing the Canadian automotive finance industry with a full spectrum of dynamic rates and services for dealers. We specialize in the acquisition and servicing of prime and subprime automotive financing contracts. Our employees flourish in an exciting and engaging environment.


Purpose of a Data Analyst

The Data Analyst is responsible for collecting, analyzing, and interpreting data to support strategic and operational decision-making across the organization. This role requires a strong analytical mindset and the ability to leverage data, statistical methods, and technology to identify trends, improve business performance, and provide actionable insights to leadership.

Number of Positions Available: 1

Office Location:Barrie, ON (This role does not provide remote or hybrid work).


Responsibilities of a Data Analyst

  • Utilize database management tools to perform data mining and analysis.
  • Design, develop, and maintain data models, dashboards, and reporting solutions.
  • Analyze data and present findings, trends, and recommendations to management.
  • Generate and distribute daily, weekly, monthly, and ad hoc reports for department leaders.
  • Conduct data integrity reviews and ensure the accuracy and reliability of reporting.
  • Monitor key performance indicators and identify opportunities for operational improvement.
  • Manage relationships with third-party IT and technology service providers.
  • Participate in corporate strategic initiatives and cross-functional projects.
  • Ensure all reporting deadlines and deliverables are met in accordance with established timelines.
  • Identify and implement continuous improvement opportunities related to data collection, reporting, and analysis.
  • Consistently act in a manner that reflects positively on the organization and complies with company policies and procedures.

Requirements of a Data Analyst

  • Ability to work on-site at the designated company location.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Demonstrated attention to detail and commitment to data accuracy.
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
  • Strong organizational and time-management skills.
  • Ability to work independently and collaboratively within a team environment.
  • Commitment to continuous learning and professional development.
  • Customer-focused approach with a high level of accountability and professionalism.

Qualifications of a Data Analyst

  • College diploma, university degree, or higher in Data Analytics, Computer Science, Statistics, Mathematics, Information Technology, Business Analytics, or a related field.
  • Minimum 2 years of experience in a data analysis, reporting, or business intelligence role.
  • Advanced proficiency in Microsoft Excel.
  • Experience working with databases, SQL, and data visualization/reporting tools such as Power BI, Tableau, or similar platforms.
  • Knowledge of statistical analysis and data modeling techniques.
  • Experience creating dashboards, reports, and data-driven recommendations for business stakeholders.
  • Familiarity with data governance and data integrity best practices is considered an asset.

Compensation of a Data Analyst

  • Base Salary starting at $45,000annually
  • Paid Wellness Days
  • Your Birthday Off
  • Comprehensive Benefits Package including health and dental coverage
  • Employee Assistance Program (EAP) for mental health and wellness support
  • Bonusly employee recognition and rewards platform


Northlake Financial appreciates all interest in this opportunity. We are an equal opportunity employer, and all employment decisions are based on business needs, job requirements, and individual qualifications. We do not discriminate on any grounds protected by applicable federal, provincial, or territorial human rights legislation.


Northlake Financial is committed to providing reasonable accommodation to applicants with disabilities throughout the recruitment process,in accordance withapplicable accessibility legislation.Applicants requiring accommodation are encouraged to notify the hiring manager.

Artificial Intelligence (AI) in Recruitment:NorthlakeFinancial may use artificial intelligence (AI) tools to support the screening and evaluation of applications. These tools are used toassist, and notreplace,human decision-making.

All applicants must be legally eligible to work in Canada. Proof ofeligibility will berequiredupon hire.


Data analysis, SQL, Python, Excel, data visualization, Power BI or Tableau, credit risk analysis, portfolio performance analysis, delinquency and charge-off analysis, loan data, forecasting, data-driven decision making, loan origination systems, ETL, data pipelines, KPI reporting, regulatory compliance, fraud detection