ZipRecruiter

Log In

1

Data Annotation For Ai Jobs in Ontario (NOW HIRING)

YO AI Labs

Graphic Designer Expert - Remote

Ottawa, ON · Remote

$20 - $50/hr

... annotation project. You'll use your expertise in typography, composition, visual hierarchy, and design systems to analyze and structure real-world creative assets for AI training. Scope of Work

YO AI Labs

Graphic Designer Expert - Remote

Toronto, ON · Remote

$20 - $50/hr

... annotation project. You'll use your expertise in typography, composition, visual hierarchy, and design systems to analyze and structure real-world creative assets for AI training. Scope of Work

Munich Re

Data and AI Enterprise Architect

Toronto, ON · On-site

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Data and AI ...

YO AI Labs

AI/ML Engineer - Remote

Toronto, ON · Remote

$200 - $350/hr

Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and SDK integrations . * Collaborate with product, security ...

YO AI Labs

AI/ML Engineer - Remote

Ottawa, ON · Remote

$200 - $350/hr

Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and SDK integrations . * Collaborate with product, security ...

Levio

AI Data Protection Architect

Toronto, ON · Hybrid

About the Role We are seeking AI Data Protection Architects to contribute to major projects ... The Data Protection & Privacy Architect is responsible for defining, governing, and implementing ...

next page

Showing results 1-20

All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Ontario

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What are popular job titles related to Data Annotation For Ai jobs in Ontario?

For Data Annotation For Ai jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Annotation For Ai jobs in Ontario look for?

The top searched job categories for Data Annotation For Ai jobs in Ontario are:

Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Ontario as of August 2026, with employment types broken down into 66% Full Time, 21% Part Time, 4% Temporary, and 9% Contract. Highlights an 68% In-person, 8% Hybrid, and 24% Remote job distribution.

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.