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

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 ...

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 ...

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 ...

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 ...

... rates and services for dealers. We specialize in the acquisition and servicing of prime and ... Artificial Intelligence (AI) in Recruitment:NorthlakeFinancial may use artificial intelligence (AI ...

... rates and services for dealers. We specialize in the acquisition and servicing of prime and ... Artificial Intelligence (AI) in Recruitment: Northlake Financial may use artificial intelligence ...

You'll spend as much time interviewing stakeholders and mapping data flows as you will writing code ... You can show a clear before/after: hours saved, error rates reduced, throughput increased, or ...

CA$21 - CA$28/hr

Salary : The hourly rate for this position is $21.00-$28.00 per hour. Please note, the salary ... Familiarity with databases, web development, signal processing, equipment automation, or AI/ML is ...

You'll spend as much time interviewing stakeholders and mapping data flows as you will writing code ... You can show a clear before/after: hours saved, error rates reduced, throughput increased, or ...

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Entry Level Ai Data Rater information

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 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.

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 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 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:

Infographic showing various Entry Level Ai Data Rater job openings in Ontario as of August 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 54% In-person, and 46% Remote job distribution.

Intermediate GenAI Engineer - 12 month contract

CorGTA

Toronto, ON

CA$70/hr

Contractor

Posted 11 days ago


Job description

Role: Intermediate GenAI Engineer
Rates: Up to $70.00 p/h INC.
Strucure: 12 month contract
Location: North York, 1-2 days per month in office
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We have a great new opportunity to support one of our clients in a contract capacity!

Please see below for more information on the position and if interested, apply with an updated resume aligned to the needs of the role.


Must-Have Qualifications
35 years of professional Software Engineering experience
Minimum 12 years building production Generative AI or LLM-based applications
Expert-level Python programming skills
Strong experience with AsyncIO and asynchronous application development
Hands-on experience building REST APIs using FastAPI
Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures
Strong understanding of vector embeddings, semantic search and prompt engineering
Experience working with PostgreSQL and pgvector
Google Cloud Platform (GCP) experience
Docker containerization
Kubernetes (GKE) deployment experience
Strong understanding of Git, testing frameworks and software engineering best practices
Excellent communication and problem-solving skills
Nice-to-Have Skills
Google Agent Development Kit (Google ADK)
LangGraph
LangChain
CrewAI
AutoGen
LlamaIndex
Multi-Agent Systems
AI Evaluation Frameworks
AI Observability
Streaming Responses (SSE/WebSockets)
CI/CD pipelines
Security guardrails and Responsible AI
Data privacy and PII handling

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CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or itsclient partners may utilize AI tools to assist with the hiring processes.

By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service: www.corgta.com/privacy-policy

For more roles like this, please go towww.corgta.com/find-a-job/