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Entry Level Ai Data Rater Jobs in Ontario (NOW HIRING)

Morningstar DBRS

Data Research Analyst

Toronto, ON · On-site

CA$47K - CA$69K/yr

... ratings and regulatory datasets, while contributing to broader data governance andAIreadydata standards across the organization. This position offers exposure tofixed income dataand AI / Data ...

Morningstar, Inc.

Data Research Analyst

Toronto, ON · On-site

CA$47K - CA$69K/yr

... ratings and regulatory datasets, while contributing to broader data governance andAIreadydata standards across the organization. This position offers exposure tofixed income dataand AI / Data ...

YO AI Labs

English Language Expert - Remote

Toronto, ON · Remote

$30 - $50/hr

Rate and compare multiple AI responses based on correctness, reasoning quality, fluency, and ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

Bmo

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$70K - CA$150K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Data structures and algorithms * Object-oriented design * REST APIs * Version control (Git)

ABL Careers

Data Entry Associate

Vaughan, ON

CA$22.50/hr

Monday - Friday Hours: 8:30 am - 5:00 pm Rate of Pay: $22.50/hr Weekly pay! Day shift! Duties ... AI (Artificial Intelligence) tools may be used at certain points of the pre-screening and selection ...

CorGTA

Data Scientist - 12 month contract

Toronto, ON · On-site

CA$70/hr

Data Scientist Rates: Up To $70.00 p/h INC. Structure: 12 month contract Location: North York, 1-2 ... Advanced AI / GenAI: Knowledge or hands-on experience with Deep Learning architectures and ...

BMO Capital Markets

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

You will collaborate with AI engineers and data scientists to deliver high-quality, data-centric ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Okta

AI Trainer

Toronto, ON · Hybrid

Proactively monitor and analyze AI agent performance metrics, including deflection rates, resolution rates, and customer satisfaction (CSAT) scores, translating data into actionable training and ...

Manulife

Winter Co-op 2027 - AI

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 ...

LexisNexis

Sr Data Scientist II

Toronto, ON

Are you excited about shaping the next generation of AI-powered legal technology through generative ... Experience designing resilient distributed applications that account for timeouts, retries, rate ...

RELX

Sr Data Scientist II

Toronto, ON

Are you excited about shaping the next generation of AI-powered legal technology through generative ... Experience designing resilient distributed applications that account for timeouts, retries, rate ...

Manulife

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 ...

Zafin

AI Knowledge Operations Specialist

Toronto, ON · On-site

CA$90K - CA$130K/yr

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 ...

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Entry Level Ai Data Rater information

What is an entry level AI data rater?

An Entry Level AI Data Rater is a professional who evaluates, labels, and rates data—such as text, images, or search results—to help improve artificial intelligence systems. Their work ensures that AI models can better understand and process human language and behavior. This role typically involves following specific guidelines to assess the accuracy and relevance of data, providing valuable feedback that helps train machine learning algorithms. Entry level positions usually require attention to detail, basic computer skills, and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an entry level AI data rater?

To thrive as an Entry Level AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web browsers, online research tools, and proprietary rating platforms is typically required; some roles may also ask for knowledge of specific guidelines or quality assurance systems. Excellent communication, critical thinking, and time management are crucial soft skills for interpreting data and meeting productivity targets. These competencies ensure accurate data labeling and evaluation, directly impacting the quality of AI training and system performance.

What are the most common challenges faced by entry level AI data raters, and how can they be addressed?

One of the most common challenges for Entry Level AI Data Raters is maintaining consistency and accuracy when evaluating large volumes of data. Since the work often involves repetitive tasks and adhering to detailed guidelines, it can be easy to overlook small errors or become fatigued. To overcome this, it's helpful to take regular breaks, stay organized, and continually review the provided instructions. Collaborating with team leads or peers to clarify uncertainties can also improve performance and ensure high-quality results.

What is the difference between Entry Level Ai Data Rater vs Data Labeler?

AspectEntry Level Ai Data RaterData Labeler
Required CredentialsHigh school diploma or equivalent; no specialized certification often neededHigh school diploma or equivalent; may require basic training
Work EnvironmentRemote or office-based; working with AI datasetsRemote or on-site; labeling data for machine learning models
Employer & Industry UsageTech companies, AI startups, data annotation firmsTech companies, data annotation services, AI development firms

Both roles involve working with data to improve AI systems, but Entry Level Ai Data Raters often focus on evaluating AI outputs, while Data Labelers primarily annotate data. The roles are similar in credentials and work environment, with slight differences in job focus.

Can I get an entry level AI data rater job with no experience?

Entry level AI data rater positions typically do not require prior experience, as they focus on evaluating and labeling data to improve AI models. Basic computer skills, attention to detail, and the ability to follow guidelines are usually sufficient to qualify for these roles. Some employers may provide training or onboarding to new hires.

What are popular job titles related to Entry Level Ai Data Rater jobs in Ontario?

For Entry Level Ai Data Rater jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Rater jobs in Ontario look for?

The top searched job categories for Entry Level Ai Data Rater jobs in Ontario are:

Entry Level Ai Data Rater jobs near you
Infographic showing various Entry Level Ai Data Rater job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Research Analyst

Toronto, ON • On-site

Morningstar DBRS
See more jobs at Morningstar DBRSexternal

CA$47K - CA$69K/yr

Full-time

Posted 7 days ago

Job description

The Role

Morningstar DBRS is seeking a Data Research Analyst to join our Data Management team supporting Structured Financesecurity mappingsand enterprise data initiatives. This roleis responsible forensuring the accuracy, completeness, and timeliness of critical ratings and regulatory datasets, while contributing to broader data governance andAIreadydata standards across the organization.

This position offers exposure tofixed income dataand AI / Data governance functionsand works closely with global stakeholders across Data, Credit Operations, and Technology teams.

The Responsibilities:

  • Perform Structured Finance security mappings, ensuring accuracy and completeness of identifiers.

  • Execute daily data quality controls across production datasets, includingprepublicationvalidations and reconciliations against external sources.

  • Contribute to data governanceand AI readyinitiatives, including population and maintenance of metadata,data dictionary, and mapping out data lineage

  • Investigate, resolve, and document data issues in collaboration with internal stakeholders.

  • Support regulatory and reporting processes, including execution of data quality checks aligned to regulatory standards

  • Reconcile regulatory datasets and reporting outputs to ensure consistency and compliance

The Requirements:

  • Bachelor's degree inBusiness,Economics, Finance, Data Science or Management Studies

  • 1-3 years of experience in datagovernance, data operations, analytics, or financial services

  • Strong attention to detail and ability to work withtimesensitive,highqualitydata

  • Proven ability to analyze, reconcile, andvalidatedatasets from multiple sources

  • Proficiencyin Microsoft Excel; experience with databases or SQL is an asset

  • Strong written and verbal communication skills, with the ability to collaborate across teams

The Preferred Qualifications:

  • Experience relatedto Structured Finance, credit ratings, or capital markets data

  • Experience with data governance, metadata, or data quality frameworks

  • Experience working with AI initiatives and projects

Base Salary Compensation Range$47,476.00-$69,634.66

Incentive Target Percentage

7.5% Annual

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

R06_DBRSInc DBRS, Inc. - US Legal Entity

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