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Data Rater Jobs in Ontario (NOW HIRING)

DEPT

CRM Data & Analytics Lead - 12 month FTC

Toronto, ON · Hybrid

CA$90K - CA$115K/yr

Create and maintain dashboards to monitor KPIs like customer engagement, sales pipelines, churn rates, and campaign performance. * Data Integrity & Management: Clear, de-duplicate, and maintain CRM ...

Td

Architect - GTB Data and Platforms

Toronto, ON · On-site

CA$165K - CA$200K/yr

... interest rate environments, and foreign exchange movements. As a result, all GTB business lines ... Extensive experience in data modelling, includinggraph-based models * Extensive experience in ...

Pacer Group

Data Warehouse Tester

Toronto, ON · On-site

BFSI Pay Rate: CAD 45-48/hour Incorporated Application Deadline: Jun 30th, 2026 SKILLS REQUIRED Strong hands-on experience in PySpark for developing and optimizing large-scale data processing ...

Hays

Senior Data Engineer

Toronto, ON · On-site

CA$70 - CA$80/hr

Senior Data Engineer Rate : $60-70/hr T4; $70-80/hr INC Length : 6 months (strong potential for extension) Location : Downtown Toronto (1-2 days onsite) Your New Company Join a high-performing, data ...

Hays

Senior Data Engineer

North York, ON · On-site

CA$60 - CA$65/hr

Role : Sr Data Engineer Location ... North York, ON (Hybrid - 1 day onsite) Rate : $60-65/hr INC Length : 1 year contract Your New ...

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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 Analyst (SQL, Power BI, Looker)

Senior Data Analyst (SQL, Power BI, Looker)

NearSource

Toronto, ON • Remote

Full-time

Posted 19 days ago

Job description

Job Title: Senior Data Analyst (SQL, Power BI, Looker)
Location: 100% Remote, Canada
Experience: 5+ Years
Rate: 62 to 65 CAD PH

Role Summary

NearSource is looking for a Senior Data Analyst to drive data-informed decision-making across large-scale platform initiatives. This role involves working with cross-functional teams to analyze complex datasets, deliver actionable insights, and support strategic business outcomes for a Fortune 500 product company.

Key Responsibilities

  • Collaborate with product managers and cross-functional teams to identify, define, and solve business problems using data-driven approaches.
  • Analyze large and complex datasets to extract actionable insights that influence product and business strategy.
  • Monitor and report on KPIs and OKRs, ensuring visibility into performance across platform initiatives.
  • Partner with product, engineering, and business stakeholders to understand data needs and deliver analytical solutions.
  • Design and deliver impactful dashboards and visualizations using Power BI, Looker, or similar tools.
  • Proactively identify trends and opportunities related to platform performance, user engagement, and business impact.
  • Develop advanced data models and apply statistical techniques to forecast trends and support decision-making.
  • Ensure data integrity through best practices in data validation, cleaning, and transformation.
  • Identify and resolve data discrepancies to maintain high-quality analytical outputs.

Must-Have Skills

  • Strong proficiency in SQL for data querying, transformation, and analysis.
  • Hands-on experience with data visualization tools such as Power BI and Looker.
  • Experience with data warehouse ELT tools, including Snowflake, Airflow, or dbt.
  • Proficiency in Python or R for data analysis and modeling.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Solid understanding of statistical analysis and data modeling techniques.
  • Proven ability to analyze complex datasets and generate actionable insights.
  • Strong communication skills to present data insights to both technical and non-technical stakeholders.

Nice-to-Have Skills

  • Experience working in a SaaS environment or platform engineering organization.
  • Exposure to large-scale product analytics and user behavior analysis.
  • Familiarity with enterprise product ecosystems in the software industry.

Certifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or a related quantitative field.
  • Master's degree in a quantitative field is an asset.

Apply now, or share your resume with salary expectations at careers@nearsource.ca.
Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.

About NearSource

NearSource Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands, working directly on long-term client initiatives.

Equal Opportunity Statement

NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.