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Data Annotation Jobs in Toronto, ON (NOW HIRING)

YO AI Labs

Korean Language Expert - Remote

Toronto, ON · Remote

$65 - $100/hr

Collaborate with project participants to improve data collection, evaluation, and annotation processes. * Help develop language guidelines and resources tailored to AI training and evaluation.

YO AI Labs

Korean Language Expert - Remote

Toronto, ON · Remote

$65 - $100/hr

Collaborate with project participants to improve data collection, evaluation, and annotation processes. * Help develop language guidelines and resources tailored to AI training and evaluation.

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

OpenSpace

Sr. Computer Vision Engineer

Toronto, ON · On-site

CA$168K - CA$220K/yr

Oversee dataset creation, curation, and annotation to ensure high-quality training and validation data. * Monitor system performance in production, ensuring scalability and robustness. What we are ...

YO AI Labs

English Language Expert - Remote

Toronto, ON · Remote

$30 - $50/hr

Previous experience in AI data training, annotation, editorial QA, localization QA, or professional copyediting . * Experience evaluating AI-generated content or training data. * Strong hands-on ...

Palona AI

AI Modeling Engineer

Toronto, ON · On-site

Create and maintain representative datasets from simulations, human annotation, production feedback, and difficult edge cases while protecting sensitive data. * Evaluate frontier and open-source ...

Palona AI

AI Modeling Engineer

Toronto, ON · On-site

Create and maintain representative datasets from simulations, human annotation, production feedback, and difficult edge cases while protecting sensitive data. * Evaluate frontier and open-source ...

Magna

Engineer, AI & Software Testing

Toronto, ON · Hybrid

CA$95K - CA$145K/yr

Proficient in handling training and validation data, segmentation and annotation process * Proficient in programming python * Proficient in machine learning and AI frameworks such as Tensorflow ...

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All JobsData Annotation JobsData Annotation Jobs in Toronto, ON

Data Annotation information

See Toronto, ON salary details

$8

$24

$51

How much do data annotation jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data annotation in Toronto, ON is $24.08, according to ZipRecruiter salary data. Most workers in this role earn between $16.29 and $28.68 per hour, depending on experience, location, and employer.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Toronto, ON?

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For Data Annotation jobs in Toronto, ON, the most frequently searched job titles are:

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Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Toronto, ON as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 38% In-person, 13% Hybrid, and 49% Remote job distribution, with an average salary of $50,091 per year, or $24.1 per hour.

Child Development Psychologist (PhD) - Remote

YO AI Labs

Toronto, ON • Remote

$100 - $300/hr

Full-time

Posted 9 days ago

Job description

Child Development Psychologist (PhD)

Role Type: Contractor
Location: Remote

Job Overview

We are seeking Child Development Psychologists with advanced academic expertise in child development or developmental psychology to support an AI training project. You will evaluate and annotate data, analyze developmental scenarios, and provide expert guidance to improve the accuracy, cultural relevance, and psychological integrity of AI systems. No prior AI experience is required.

Key Responsibilities
  • Review and annotate datasets related to child development and developmental psychology.
  • Evaluate AI-generated content for developmental accuracy, cultural appropriateness, and psychological relevance.
  • Analyze scenarios and test cases involving children's learning, behavior, and development.
  • Collaborate with interdisciplinary teams to provide expert psychological insights.
  • Develop and refine guidelines addressing the cognitive, linguistic, and psychosocial aspects of child development.
  • Document findings, recommendations, and evaluations clearly and accurately.
  • Contribute to improving AI systems through high-quality expert feedback.
Required Skills
  • Child development expertise
  • Developmental psychology
  • Data annotation and AI data evaluation
  • Scenario analysis
  • Cross-cultural competence
  • Guideline creation
  • Strong written communication
  • Interdisciplinary collaboration
  • Ability to work effectively in a remote environment
Preferred Qualifications
  • PhD in Child Development, Developmental Psychology, or a closely related field.
  • Research or academic experience focused on child development or developmental psychology.
  • Experience with technology, digital platforms, or AI-related projects is highly desirable.
  • Ability to work independently while collaborating with distributed teams.
  • Experience evaluating psychological or behavioral data is a plus.
Preferred Languages

We are prioritizing applicants proficient in one or more of the following languages:

Japanese, French, Tagalog, Malay, Lithuanian, Russian, Georgian, Polish, Marathi, Bengali, Urdu, Vietnamese, Swahili, Mandarin, Cantonese, Indonesian, Turkish, Gujarati, or Bulgarian.