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Data Rater Jobs in Ontario (NOW HIRING)

Senior Data Engineer

Toronto, ON · Hybrid

CA$100/hr

Senior Data Engineer Structure ... Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month Contract Pay Rate:up to $100 INC ...

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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:

Data Scientist, ONCAP/OpCo - 12 month contract

ONCAP

Toronto, ON

CA$45 - CA$60/hr

Other

Posted 13 hours ago


Job description

The Opportunity:

ONCAP is seeking a Data Scientist to support the AI, Analytics, and Data function within one of its portfolio companies. The selected candidate will be assigned to a specific operating company based on business needs. They will contribute to a variety of projects that drive value creation within the operating company and across ONCAP.

The hire will report directly to the Head of AI, Analytics and Data at ONCAP, as well as to operating leaders at the assigned operating company. This position is for a current vacancy.

What You Will Do:

The successful candidate will play a key role in accelerating data-driven evolution within the portfolio company by using advanced analytics to drive business value, and work with alternative datasets to curate novel insights. Key projects will include:

  • Customer Data & Insights
    • Segment customer data to drive targeted marketing and personalization strategies.
    • Develop and maintain weekly, periodic, and quarterly reports using Power BI or similar tools.
    • Collaborate with business teams to leverage data in alignment with growth priorities.
    • Explore AI-driven personalization opportunities to optimize customer engagement.
  • Operations Analytics & Optimization
    • Conduct in-depth operational analyses to identify performance drivers, uncover improvement opportunities, and address key business challenges.
    • Develop insights to optimize revenue and working capital performance.
  • Business Strategy & Growth Analytics
    • Analyze data to determine cost-effective strategies for delivering products or services.
    • Provide insights into customer behavior to enhance sustainable growth.
  • Technology & IT Efficiency Assessment
    • Assess current data and technology platforms to identify opportunities for greater efficiency and effectiveness.
  • Targeting
    • Leverage AI and data-driven targeting techniques to identify, evaluate, and prioritize high-potential acquisition targets aligned with the fund's investment thesis.

What You Will Bring:

Professional Characteristics:

  • 1-3 years relevant experience in data science and analytics.
  • Expert proficiency in BI tools, programming and querying languages including Power BI (or Tableau), Python, SQL, strongly typed and/or functional languages a plus.
  • A strong intuition for analytical methodologies and desire to solve novel technical challenges.
  • Exceptional attention to detail, ensuring accuracy, consistency, and reliability across all analyses and deliverables. 
  • Familiarity with data analysis and fundamental ML modeling techniques.
  • Ability to communicate technical concepts to non-technical audiences effectively both orally and in writing.
  • Be passionate about the application of data science to drive business impact, and intellectually curious about solving real-world questions from data.
  • Strong proficiency in English, ensuring clarity in both technical and business communication.

Personal Characteristics:

  • Judgment and Flexibility: Thinks about issues and develops solutions that thoughtfully take the broader context into account. Positively deals with a shifting demand for time, priorities, and the rapid change of your environment.
  • Ownership and Initiative: Takes ownership for and "rolls up sleeves" to meet objectives.
  • Excellence: Demonstrates accuracy and thoroughness. Ensures quality and demonstrate a strong attention to detail and follow-through. Commits to implementing best practices and continuous improvement.
  • Teamwork: Cooperates with management, colleagues, and third-parties and operates with humility. Seeks and is open to give and receive suggestions to develop better solutions and to make the team stronger.
  • Communications: Demonstrates strong written skills and presents analysis, suggestions, and other information clearly and concisely; presence and self-confidence to interface with the key constituents of the firm including management teams of companies, deal professionals, service providers and others.
  • Great relationship management skills - networking, influencing, collaborating - and a proven ability to build trust with clients and other organizational partners.
  • Ability to drive a process forward through completion, and to effectively prioritize competing objectives and urgent deadlines.
  • A pattern of excellence, both personally and professionally, demonstrated by the individual's education, career track record, intellect, and professional reputation; self-awareness, maturity, irreproachable integrity.
COMPENSATION: 

The expected wage rate for this position is C$45-C$60/hour. All-in compensation may vary based on several factors, such as relative experience, education level attained, certification(s), geographical location, etc. to account for local market conditions.

This position is for a current vacancy.

Please note, in accordance with applicable Ontario employment and privacy laws, artificial intelligence (AI)-enabled tools may be used in the hiring process to screen, assess, or otherwise select applicants; however, these tools will not be relied upon exclusively when making any hiring decision.

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