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Data Rater Jobs in Ontario (NOW HIRING)

... ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data ...

Monday - Friday Hours: 8:30 am - 5:00 pm Rate of Pay: $22.50/hr Weekly pay! Day shift! Duties: - Respond to customer requests regarding transportation issues - Data entry of customer and product ...

Manager, Data Science

Toronto, ON · Hybrid

CA$82K - CA$154K/yr

Data Analytics & Reporting This is a hybrid role in Toronto Uses advanced analytical algorithms and ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Principal Data Scientist

Toronto, ON · On-site

$103.20 - $192/hr

Data Analytics & ReportingUses advanced analytical algorithms and technologies (e.g. machine ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Principal Data Scientist

Toronto, ON · On-site

CA$103K - CA$192K/yr

Data Analytics & Reporting Uses advanced analytical algorithms and technologies (e.g. machine ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Data Engineer

Toronto, ON

CA$61K - CA$113K/yr

Technology About the team Data and AI Technology (DAT) Engineering supports BMO's Digital-First ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

MP6 Hourly Rate: $85 - $100/hour Duration: 12 Months Hours of work: 35 Location: 889 Brock Road, Pickering (Hybrid - 4 days remote) Job Overview JOB FUNCTION As a Data Architect you will be ...

Business Data Analyst

Oakville, ON · Hybrid

CA$53K - CA$88K/yr

What You'll Do: As the Business Data Analyst, you will provide structured transparency and ... For critical roles, the compensation offering will be reviewed to ensure alignment with market rate ...

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

Our Team The Data Cognition Team (DCT) at BMO Capital Markets delivers a sustainable and scalable ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

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Showing results 1-20

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 Architect (AWS, Data & AI)

BMO Capital Markets

Toronto, ON

CA$94K - CA$176K/yr

Full-time

Medical, Life, Retirement

Re-posted 2 days ago


Job description

Application Deadline:

07/30/2026

Address:

100 King Street West

Job Family Group:

Technology

Please note this is a Senior Architect role; hands on coding experience is a must. Hybrid (2 days/week working in office downtown Toronto).

MUST HAVE: Architecture experience, AWS Cloud, Artificial Intelligence Hands-on experience (coding), Data Architecture.

Contributes to AI Adoption and Enterprise Architecture from an AI and Data architecture perspective, while bringing their hands on Engineering skills to align business needs with technologies. Partners with internal stakeholders to define the technology capabilities, principles, standards, and guidelines regarding AI including machine learning and data architecture. Provide expert advice regarding AI and Data architecture in critical programs and initiatives. Validates solution architecture for adherence to defined policies, standards and guidelines including regulatory directives. Partners with broader internal stakeholders to define architectural possibilities and futures. Works with business and development teams to recommend processes or system design enhancements. Ensures that systems are functionally appropriate, technically sound, and well-integrated.

  • Lead the design of end-to-end AI solution reference architectures, integrating data architecture components such as data pipelines, model training, deployment, and monitoring.
  • Apply innovative AI, data, and analytics technologies to enterprise platforms, aligning technical solutions with complex business and IT requirements.
  • Develop and maintain the technical roadmap for enterprise platform capabilities to realize the organization's AI and data vision.
  • Support initiatives related to data acquisition, processing, and utilization through the enterprise AI and data platform.
  • Define infrastructure requirements for AI systems; evaluate and select tools, platforms, and frameworks to ensure scalability, performance, and security.
  • Serve as a technical thought leader in AI, machine learning, and data architecture, recognized for deep architectural expertise.
  • Provide strategic advice and guidance to business units on the implementation of AI and data solutions.
  • Ensure project deliverables align with target state architecture and challenge architectural decisions where necessary to uphold governance standards.
  • Identify opportunities to enhance data architecture across diverse and complex business functions and processes.
  • Build and maintain strong relationships with internal stakeholders across enterprise, technology, and business groups to ensure adherence to architecture standards.
  • Monitor industry trends and emerging technologies to inform strategic decisions and recommend relevant innovations.
  • Conduct research and proof-of-concept initiatives to evaluate emerging technologies and recommend their application.
  • Perform additional responsibilities as required to support enterprise goals.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering.
  • 15+ years of combined experience in software development, data engineering, architecture and Artificial Intelligence.
  • 5 years experience as a Data Architect
  • 2+ years experience delivering AI Architectures
  • 3 years experience specific to AWS Cloud
  • Hands on current capability to code (at least with Python)
  • Experience with GenAI, LLMs, or reinforcement learning in production environments and AI solution delivery.
  • Proven experience architecting and deploying AI/ML solutions
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., Azure, AWS, GCP), and MLOps tools. Preferred certifications in cloud architecture or AI/ML.
  • Proficiency in Python, SQL, and other relevant programming languages.
  • Familiarity with data architecture, APIs, and microservices.
  • Experience with implementing disruptive technologies in an organization;
  • Experience with Complex & high volume cloud implementations;
  • Possesses knowledge in financial industry business knowledge as well as knowledge of major data consumption use cases in financial services.
  • Exhibits knowledge of data architecture concepts and practices.
  • Demonstrates knowledge of architecture frameworks, methodologies, and tools.

Salary:

$94,600.00 - $176,000.00

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.