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Ai Data Rater Jobs in Toronto, ON (NOW HIRING)

Provide the data underpinning the AI agent quality and risk metrics layer: escaped defect rate, architecture compliance, and security gate pass rate. What Do You Need to Succeed? Must Haves * Degree ...

Winter Co-op 2027 - AI (12 Months)

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

As an AI Co-op, you'll gain hands-on experience applying data science and machine learning ... The annual salary will be pro-rated based on the length of the work-term #LI-Hybrid This posting ...

Its Quake AI business delivers AI compute as a service, operating AI data centers including GPU and ... Define and track key performance indicators such as adoption, engagement, win rates, and pipeline ...

Our products are built with purpose and precision - operating at data rates of 25-400Gbps and beyond - delivering faster, more reliable connectivity for AI data centers, PON, and 5G wireless networks.

Our products are built with purpose and precision - operating at data rates of 25-400Gbps and beyond - delivering faster, more reliable connectivity for AI data centers, PON, and 5G wireless networks.

AI CyberSecurity Architect

Toronto, ON · On-site

CA$103K - CA$192K/yr

Data ingestion and preprocessing * Model training and tuning * Deployment and inference layers ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

As an AI Developer on Xplore's Data & AI team, you will design, build, and deploy the agentic ... rate, error rate, and cost per transaction. * Own the reliability of everything you deploy ...

Applied AI Engineer

Toronto, ON · Remote

CA$110K - CA$150K/yr

... rate, FX, and commodity risks, optimizing hedging strategies, and streamlining cross-border ... Own the data engineering layer that feeds AI systems: pipelines, retrieval architectures, context ...

Our commitment to customers is reflected in our 4.8 out of 5 Trustpilot rating. Backed by Fairstone ... Build AI-Powered Solutions: Develop and deploy AI-powered solutions across credit risk and fraud to ...

Sr Data Engineer, Specialist

Toronto, ON · On-site

CA$90K - CA$140K/yr

Participate in strategic initiatives such as AI readiness, data unification efforts, metadata ... For part-time roles, pay will be pro-rated based on regularly scheduled hours. In addition to the ...

New

Principal Data Engineer

Toronto, ON · On-site

CA$94K - CA$176K/yr

Data architecture design and modeling, AI Engineering, Data Engineering * Hands-on Coding (Python ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Senior Applied AI Engineer

Toronto, ON · On-site

CA$103K - CA$192K/yr

Data Analytics & Reporting The Senior Applied AI Engineer is responsible for designing, developing ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

... rate, availability). Experience building end-to-end ML pipelines: data ingestion, feature engineering, model training, evaluation, and monitoring. Experience integrating AI/LLM services into user ...

... rate, availability). Experience building end-to-end ML pipelines: data ingestion, feature engineering, model training, evaluation, and monitoring. Experience integrating AI/LLM services into user ...

Showing results 41-60

Ai Data Rater information

What is an AI data rater?

An AI Data Rater evaluates and rates AI-generated content, such as search engine results, chat responses, or recommendations, to improve machine learning models. They follow specific guidelines to assess relevance, accuracy, and quality. This role helps refine AI systems by providing valuable feedback to enhance their performance. It typically requires strong analytical skills, attention to detail, and familiarity with the subject matter being rated.

What does an AI data rater do?

As an AI Data Rater, your main responsibilities include reviewing and evaluating various types of data—such as search queries, images, or social media content—according to detailed guidelines provided by your employer. You will typically work independently, using specialized tools or web-based platforms to rate data quality, relevance, or appropriateness. Attention to detail and consistency are important, as your feedback directly impacts the effectiveness of AI systems. Depending on the employer, you may also participate in training sessions or occasional team meetings to stay updated on the latest guidelines or project requirements.

What skills and qualifications are needed to thrive as an AI data rater?

To succeed as an AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in evaluating data quality, typically requiring at least a high school diploma or equivalent. Familiarity with computer systems, web browsers, and proprietary rating platforms is often necessary, and training in data privacy or AI guidelines is sometimes provided. Excellent time management, adaptability, and effective written communication help candidates stand out in this largely remote and independent role. These skills ensure accurate data evaluations, support AI improvement, and enable consistent, high-quality performance.

What are popular job titles related to Ai Data Rater jobs in Toronto, ON?

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Infographic showing various Ai Data Rater job openings in Toronto, ON as of August 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 50% In-person, and 50% Remote job distribution.

AI Knowledge Operations Specialist

Zafin

Toronto, ON

CA$90K - CA$130K/yr

Full-time

Re-posted 14 days ago


Job description

What's the Opportunity? 

The AI Knowledge Operations Specialist is responsible for preparing, organizing, governing, and maintaining the knowledge assets that power Zafin's AI Operating System (AIOS). This role ensures the business knowledge is structured, trusted, current, and optimized for AI agent consumption and enabling accurate and reliable, and explainable AI solutions across client engagements.

Working closely with Industry Consultants, Agent Engineers, AI Evaluation Engineers, and other team members, this role prepares AI-ready content through research, metadata management, taxonomy design, document structuring, and knowledge lifecycle management. The role owns the Knowledge and Governance pillars of the Embed phase: capture, curation, publication, and reuse of knowledge on one side; evaluation, security, auditability, and operating controls on the other. The role applies established governance standards and operational controls to ensure knowledge assets remain consistent, reusable, compliant, and production ready.

The role also supports the execution of AI governance by maintaining knowledge quality, preparing audit evidence, monitoring content health, and contributing to governance reviews and continuous improvement activities. Every engagement should leave behind trusted, reusable knowledge assets that improve AI performance over time.

What Will You Do? 

  • Prepare, clean, structure, and maintain content to support consumption by AI agents.
  • Perform markdown cleanup, metadata tagging, taxonomy management, and content migration to improve AI agent performance.
  • Maintain and continuously improve the knowledge repository that underpins AI agent accuracy, reliability, and reuse
  • Conduct research to extract business knowledge and convert it into AI agent-ready assets and decision frameworks.
  • Document processes, policies, and procedures to the standard required in a regulated banking environment.
  • Manage the capture, curation, publication, reuse, archival, and retirement of knowledge assets across client engagements.
  • Apply established knowledge governance standards to ensure AI content quality, consistency, and traceability.
  • Validate metadata, taxonomy, document structure, and content quality before production use.
  • Identify outdated, duplicated, conflicting, or incomplete knowledge and coordinate remediation.
  • Monitor knowledge quality metrics and recommend improvements that increase AI accuracy and reliability.
  • Support governance reviews by preparing documentation, audit evidence, and knowledge artifacts.
  • Contribute knowledge quality data supporting AI quality and risk reporting.
  • Support investigation of knowledge-related AI failures and contribute to corrective actions.
  • Participate in the monthly governance review and the quarterly operating model review, reporting on knowledge and AI risk status.
  • Provide the data underpinning the AI agent quality and risk metrics layer: escaped defect rate, architecture compliance, and security gate pass rate.

What Do You Need to Succeed? 

Must Haves 

  • Degree in Comp Sci, Library/Information Science, Business, or related field, or equivalent experience.
  • Experience with content management, metadata tagging, and taxonomy design.
  • Familiarity with markdown, documentation tooling, and repository maintenance.
  • Understanding of how knowledge quality directly affects AI agent performance.
  • Strong research and analytical skills, with the ability to convert unstructured information into AI agent-usable formats.
  • Working understanding of enterprise data architecture and integration patterns as they relate to knowledge and content systems.
  • Familiarity with governance rhythms, including monthly reviews and quarterly maturity assessments, in a regulated environment.

Nice to Have 

  • Familiarity with banking processes and policy frameworks.
  • Experience supporting an audit or regulatory examination involving AI or automated decision-making.

Additional Job Details 

  • Expected Salary Range: $90,000 - $130,000
  • Vacancy Status: Open position(s) to be filled
  • Mode of Work: Hybrid
  • Use of AI: Zafin may use Artificial Intelligence (AI) and/or other forms of automated technology to screen and/or assess applicants for this position. Zafin will not utilize AI for conducting interviews and/or making hiring decisions.