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Data Rater Jobs in Ontario (NOW HIRING)

BMO Financial

Vice President, Data Scientist

Toronto, ON · On-site

CA$120K - CA$150K/yr

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 ...

Scotiabank

Senior Manager, AML Data

Toronto, ON · On-site

Own the operationalization of AML Data and connect into AML initiatives to ensure the Data requirements for AML businesses including Transaction Monitoring and Client Risk Rating, are delivered in ...

Priceline

Senior Data Developer

Toronto, ON · On-site

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 ...

BMO Financial

Director, Data Science & AI

Toronto, ON · On-site

CA$132.60K - CA$231K/yr

Data Analytics & Reporting Location: Toronto, ON (Hybrid) Line of Business: Commercial Banking ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

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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 May 29, 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 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 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 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
Infographic showing various Data Rater job openings in Ontario as of May 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $59,106 per year, or $28.4 per hour.

Data Scientist (Credit Risk Modelling)

Farm Credit Canada

Toronto, ON • Hybrid

Full-time

Posted 9 days ago

Job description

Closing Date (MM/DD/YYYY):

06/04/2026

Worker Type:

Permanent

Language(s) Required:

English

Term Duration (in months):

Salary Range (plus eligible to receive a performance based incentive, applicable to position) :

$92,310 - $124,890

Why FCC?

At FCC, we're proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide.

Here's what you can expect when you join our team:

  • Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programs

  • Purpose-driven work: We build strong relationships, share knowledge and support the people who feed the world

  • Growth: Learning and development opportunities to help you thrive

  • Hybrid work options

-

How you will make an impact

As a Data Scientist, you'll focus on building and improving tools to help FCC understand and manage credit risk. Working with complex data, you'll design and validate analytical models that directly support risk management and datadriven decision making. Your work will help assess, monitor, and mitigate credit risk throughout FCC, as models are implemented in real-world operations through close collaboration with business and technology teams. You'll deliver clear, actionable insights that inform strategic and operational decisions and drive measurable improvements in portfolio risk outcomes.

Whatyou'lldo

  • Design, develop,validate, andmaintaincredit risk models, includingInternal Rating and Operational Credit Risk Models,Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD), and analyze how these components interact.

  • Unlock insights from complex internal and external data to support datadriven decisionmaking.

  • Apply advanced analytics techniques (e.g., statistical modeling, machine learning, forecasting) toidentifyrisks and opportunities.

  • Translate complex analytical outputs into clear, practical insights for nontechnical stakeholders.

  • Collaborate with business leaders, technology teams, and external partners to implement analytics solutions in production.

  • Apply strong analytical judgment and rigor to reduce ambiguity and support strategic and operational decisions.

Whatyou'llbring to the team

Required qualifications

  • Bachelor's degree in finance, economics, mathematics, statistics,actuarial science,computerscience, agriculture, or a related field.

  • 4+ years of experience in data science, analytics, orrisk modeling, including experience indevelopingcredit riskmodels.

  • Strong understanding ofInternal Rating,PD, LGD, and EAD, and their role in credit risk measurementframeworks, includingIFRS 9 and Economic Capital.

  • Proven experience building,validating, and interpreting statistical or predictive models.

  • Strong foundationin statistics, mathematics, and analytical problemsolving.

  • Proficiencywith tools such as SQL, SAS, R, Python, Power BI, or similar technologies.

  • Ability to communicate complex analytical concepts clearly and influence decisionmaking.

  • Strong collaboration and communication skills in crossfunctional environments.

  • Strong written communication skills, with experience producing clear, high-quality model development and validation documentation

  • Preferred qualifications

  • Experience working with large, complex datasets (structured and unstructured).

  • Exposure to cloud environments and analytics platforms (e.g. AWS).

  • Experience supporting domains such as risk management, marketing and pricing, economics, finance, or strategy.

  • Experience mentoring or providing technical leadership to other analytics professionals.


Not sure you meet every requirement? We encourage you to apply anyway.

You belong here
At FCC, we're committed to creating an inclusive, equitable and accessible workplace - one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and we're dedicated to building a workforce that brings together a range of backgrounds, abilities and perspectives.
We encourage qualified applicants to apply, including members of these four employment equity groups:
Indigenous Peoples
Members of visible minority groups
Persons with disabilities
Women

Accessibility and accommodations

To support an inclusive and accessible candidate experience, we encourage anyone needing an adjustment or accommodation during any stage of the recruitment process to email us at: TalentSupplyRecherch@fcc-fac.ca. An HR partner will respond and work with applicants who request a reasonable accommodation. Information received in relation to accommodation requests will not impact hiring decisions.

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