ZipRecruiter

Log In

2

Data Annotation Tech Remote Jobs in Ontario (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 ... Familiarity with language technology, digital content platforms, or AI-related projects is a plus.

YO AI Labs

Korean Language Expert - Remote

Toronto, ON · Remote

$65 - $100/hr

Collaborate with project participants to improve data collection, evaluation, and annotation ... Familiarity with language technology, digital content platforms, or AI-related projects is a plus.

YO AI Labs

English Language Expert - Remote

Toronto, ON · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Coordinate data collection and annotation efforts. * Work with real-time data and content coming ...

Lincoln Institute of Land Policy

... technologies that power more sustainable and equitable outcomes. We are a fully remote team of ... We use tools like satellite data and artificial intelligence to deliver insights for impact. At CGS ...

next page

Showing results 1-20

All JobsData Annotation Tech JobsData Annotation Tech Remote JobsData Annotation Tech Remote Jobs in Ontario

Data Annotation Tech Remote information

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the most commonly searched types of Data Annotation Tech jobs in Ontario?

The most popular types of Data Annotation Tech jobs in Ontario are:

What are popular job titles related to Data Annotation Tech Remote jobs in Ontario?

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

What job categories do people searching Data Annotation Tech Remote jobs in Ontario look for?

The top searched job categories for Data Annotation Tech Remote jobs in Ontario are:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Child Development Psychologist (PhD) - Remote

YO AI Labs

Ottawa, ON • Remote

$100 - $300/hr

Full-time

Posted 8 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.