ZipRecruiter

Log In

2

Full Time Data Annotation Tech Jobs in Vancouver, BC

Prenuvo

Senior AI Applied Scientist II

Vancouver, BC · On-site

Drive data quality standards, clinical annotation criteria, and knowledge grounding (e.g., RAG ... Prior experience in health tech, biotech, or clinical AI environments. Our Values First: we are ...

Prenuvo

Senior AI Applied Scientist II

Vancouver, BC · On-site

Drive data quality standards, clinical annotation criteria, and knowledge grounding (e.g., RAG ... Prior experience in health tech, biotech, or clinical AI environments. Our Values First: we are ...

Vancity

Enterprise Data Quality Manager

Vancouver, BC · On-site +1

You will partner with business, technology, risk, privacy, compliance, Data Owners, and Data ... This is a Full-time, Permanent role based at our Vancity head office and will report directly to ...

Teck

Data Scientist III

Vancouver, BC · Hybrid

CA$107K - CA$132K/yr

Role Overview Reporting to the Lead, Data Scientist, the Data Scientist who joins the team is ... Technology | Employment Type: Regular Full Time | Location: Vancouver | Workplace Type: #LI ...

YO AI Labs

Korean Language Expert - Remote

Vancouver, BC · 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

Vancouver, BC · 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.

Reach3 Insights

Data Analyst

Vancouver, BC · On-site +1

CA$65K - CA$85K/yr

Vancouver / Toronto / Remote in Canada | Employment Type: Full-time | Reports to: Senior Data ... As part of Rival Group - alongside Rival Technologies and Angus Reid - we're helping transform the ...

RLG International

IT Manager

Vancouver, BC · On-site

... and Data Analyst) who owns our Microsoft Fabric, BI, and AI platform work. Rather than doing ... This is a full-time, permanent, on-site role based at our Vancouver, BC head office (5 days/week)

RLG International, Inc.

IT Manager

Vancouver, BC · Hybrid

... and Data Analyst) who owns our Microsoft Fabric, BI, and AI platform work. Rather than doing ... This is a full-time, permanent, on-site role based at our Vancouver, BC head office (5 days/week)

FIC

Analyst - Technology

Vancouver, BC

$125K/yr

Checking data quality and the accuracy of reporting * Coordinating with software vendors and ... Permanent, Full-time, and in person. * Time Commitment: High-commitment position with the ...

Rival Technologies

IT Operations Manager

Vancouver, BC · Hybrid

CA$110K - CA$135K/yr

Vancouver, BC | Employment Type: Full-Time | Reports to: CEO Reporting to the CEO, we're looking ... Our teams blend technology, research, consulting, and data storytelling to help organizations make ...

next page

Showing results 1-20

All JobsData Annotation Tech JobsFull Time Data Annotation Tech JobsFull Time Data Annotation Tech Jobs in Vancouver, BC

Full Time Data Annotation Tech information

What is a full time data annotation tech?

Full Time Data Annotation Techs are professionals responsible for labeling and categorizing data used to train machine learning models. They examine various types of data, such as images, text, or audio, and apply specific tags or annotations according to project guidelines. Their work is essential in ensuring the accuracy of artificial intelligence systems by providing high-quality, structured datasets. Full-time positions typically involve working standard business hours and may require familiarity with specialized annotation tools and attention to detail.

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

To thrive as a Full Time Data Annotation Tech, you need strong attention to detail, basic data management skills, and familiarity with data labeling practices, typically supported by a high school diploma or equivalent. Experience with annotation tools (such as Labelbox, Supervisely, or similar platforms) and basic proficiency in spreadsheet or database systems are commonly required. Reliability, consistency, and effective communication are crucial soft skills for quality assurance and collaboration with data teams. These skills and qualities are essential to ensure the accuracy and efficiency of annotated datasets, which directly impact the performance of machine learning models.

How does a full time data annotation tech typically collaborate with data scientists and engineers on projects?

As a Full Time Data Annotation Tech, you will regularly work alongside data scientists and engineers to ensure the accuracy and quality of labeled datasets used for machine learning models. Collaboration often involves attending project meetings to clarify annotation guidelines, providing feedback on ambiguous data cases, and updating annotation processes based on team input. Clear communication is essential, as your work directly impacts model performance and downstream analytics. This team-oriented environment fosters learning and provides insight into broader AI development workflows.

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

AspectFull Time Data Annotation TechData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with training in labeling tools
Work EnvironmentOffice or remote, collaborative teamsRemote or on-site, focused on labeling tasks
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, healthcare
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI accuracy

Both roles involve data annotation and labeling, often requiring similar skills and working environments. The main difference lies in job titles used by employers and the scope of responsibilities, with 'Full Time Data Annotation Tech' emphasizing a broader technical role, while 'Data Labeling Specialist' may focus more on specific labeling tasks.

Does full time data annotation tech actually pay?

Full-time data annotation technicians typically receive a regular salary or hourly wage, with pay rates varying based on experience, location, and company. Many roles offer benefits such as paid time off and health insurance, and some positions may require familiarity with annotation tools or specific data types.

What are the most commonly searched types of Data Annotation Tech jobs in Vancouver, BC?

The most popular types of Data Annotation Tech jobs in Vancouver, BC are:

What are popular job titles related to Full Time Data Annotation Tech jobs in Vancouver, BC?

For Full Time Data Annotation Tech jobs in Vancouver, BC, the most frequently searched job titles are:

What job categories do people searching Full Time Data Annotation Tech jobs in Vancouver, BC look for?

The top searched job categories for Full Time Data Annotation Tech jobs in Vancouver, BC are:

Full Time Data Annotation Tech jobs near you
Infographic showing various Full Time Data Annotation Tech job openings in Vancouver, BC as of June 2026, with employment types broken down into 47% Full Time, 52% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Child Development Psychologist (PhD) - Remote

YO AI Labs

Vancouver, BC • Remote

$100 - $300/hr

Full-time

Posted 7 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.