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Part Time Ai Data Annotation Jobs in Vancouver, BC

Sobeys

Pharmacy Assistant - PT

Vancouver, BC · On-site

CA$20 - CA$24/hr

Retail - Pharmacy Travel Requirements: 0 - 10% Job Type: Part-Time Country: Canada (CA) Province ... Prescription assembly and data entry: * Processing customer transactions (receive and release ...

Sobeys, Inc.

Pharmacy Assistant - PT

Vancouver, BC

CA$20 - CA$24/hr

Retail - Pharmacy Travel Requirements: 0 - 10% Job Type: Part-Time Country: Canada (CA) Province ... Prescription assembly and data entry: * Processing customer transactions (receive and release ...

Jetson Home

Head of Field Marketing

North Vancouver, BC

CA$120K - CA$150K/yr

... part-time or seasonal, field workforce. * Comfort with data -- you track cost-per-lead and ... Experience with modern tools, including AI, to automate and make your day more efficient. Job Type ...

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All JobsAi Data Annotation JobsPart Time Ai Data Annotation JobsPart Time Ai Data Annotation Jobs in Vancouver, BC

Part Time Ai Data Annotation information

What is a part time AI data annotation?

A Part Time AI Data Annotation job involves labeling, categorizing, or tagging data—such as images, text, or audio—to help train artificial intelligence and machine learning models. Annotators review raw data and apply guidelines to ensure AI systems learn to recognize patterns accurately. These roles are often flexible, can be done remotely, and require attention to detail and consistency. It's a great entry-level position for those interested in AI and technology, even without a technical background.

What are the key skills and qualifications needed to thrive as a part time AI data annotation specialist?

To thrive as a Part Time AI Data Annotation specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with annotation platforms, data labeling tools, and sometimes workflow management systems is important for efficiency. Strong organizational skills, reliability, and the ability to follow precise instructions make someone stand out in this position. These skills ensure high-quality, accurate labeled data, which is critical for training effective AI models.

What are some common challenges faced by part-time AI data annotators, and how can they be managed?

Part-time AI data annotators often encounter challenges such as maintaining accuracy while working with repetitive tasks and managing time effectively alongside other commitments. Annotators may also face ambiguity in data or unclear labeling instructions. To address these challenges, it's important to ask clarifying questions, take regular breaks to maintain focus, and stay updated on annotation guidelines. Many teams provide support channels and regular training sessions to help annotators improve their skills and ensure consistency.

What is the difference between Part Time Ai Data Annotation vs Data Labeler?

AspectPart Time Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Search IntentPart Time Ai Data Annotation vs Data Labeler

Part Time Ai Data Annotation involves labeling data specifically for training AI models, often requiring understanding of data types like images, text, or audio. Data Labelers perform similar tasks but may have broader roles in data categorization. Both roles are similar in credentials and work environment, primarily serving AI and tech industries. The main difference lies in terminology and specific job descriptions, but they often overlap in responsibilities and skills.

How much do you get paid for part time AI data annotation?

Part time AI data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Compensation can vary based on experience, the platform used, and the specific project requirements.

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

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

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

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

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

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

Part Time Ai Data Annotation jobs near you
Infographic showing various Part Time Ai Data Annotation job openings in Vancouver, BC as of August 2026, with employment types broken down into 100% Part Time. Highlights an 74% In-person, and 26% Remote job distribution.

Senior Architect - Data & AI

Vancouver, BC • Hybrid

Wawanesa Insurance
Insurance Services • 1 - 5K employees
Learn more about Wawanesa Insuranceexternal

CA$115K - CA$160K/yr

Full-time, Part-time

Retirement, PTO

Re-posted 2 days ago

Job description

Job ID: 10251 


Employment Type: Existing Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS. 

Working Business Language: English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English.
 

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan. 
 

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $115,000 - $160,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada's largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.


Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

Under moderate supervision, the Senior Architect - Data & AI, will contribute to Wawanesa's success by providing high-level architecture design of Advanced Analytics solutions and long-term technology roadmaps to meet business objectives, taking into account the existing architectural landscape including established standards and principles. The Architect drives standards, governance, and reusable patterns to enable spoke teams while ensuring solutions are implemented in alignment with solution architecture design.

Job Responsibilities
  • Develop and maintain current state architecture models and artifacts including the four key domains of architecture: Business, Application, Data, and Technology.
  • Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation, and CI/CD. Experience designing on a modern lakehouse platform (Databricks preferred) using medallion architecture (Bronze/Silver/Gold) with Delta Lake and Unity Catalog governance is a strong asset.
  • Architect the enterprise semantic layer, including federation across BI and AI consumers, to enable consistent, governed metric definitions.
  • Define and maintain hub standards, guardrails, and governance for analytics capabilities.
  • Enable Responsible AI practices (explainability, fairness, compliance) and regulatory compliance for data and AI solutions (privacy, security, auditability).
  • Partner with business and technical teams to embed analytics services into products and workflows.
  • Gather solution architecture requirements from various sources including interviewing business and IT stakeholders, established architecture standards and principles, and reference architecture.
  • Provide architectural leadership and guidance throughout solution design and implementation, ensuring best practices, reuse of components, and alignment with target architecture.
  • Ensure architectural compliance of solutions to enterprise architecture standards and principles.
  • Design external system interface architecture, including appropriate application of techniques and standards such as service-oriented architecture, web services, etc.
  • Design external system interface architecture, including appropriate application of techniques and standards such as service-oriented architecture, web services, and modern data integration patterns (CDC, managed connectors, data sharing, and cross-cloud consumption).
  • Develop solution architecture roadmaps based on organizational business units objectives and strategies.
  • Perform other duties as assigned.
Qualifications
  • Bachelor's degree in computer science, in an analytical discipline or equivalent experience.
  • Minimum of 2 to 5 years of Information Services / Information Technology architecture experience.
  • 10 years of experience in full life cycle solution design using object-oriented analysis and design techniques, preferably in a medium-to-large enterprise environment.
  • Ability to influence across and lead changes in a complex enterprise.
  • Experience in comprehensive modeling for applications, services, systems, and data with approaches in component-based, service-oriented, model-driven manner.
  • Expert knowledge and experience with designing and delivering solutions that factor in system performance, usability, quality, cross-system interdependence, scalability and overall cost to develop and maintain.
  • Sound knowledge and experience with design patterns, service-oriented architecture, solution frameworks, technical patterns and technical services.
  • Ability to balance the long-term ("big picture") and short-term implications of individual decisions and drive actions that are consistent with long-term goals.
  • Strong business sense with the ability to translate complex business requirements into technology solutions.
  • Excellent communication, analytical, and problem-solving skills with ability to manage multiple priorities. Ability to lead others to embrace, perform effectively, and adapt quickly to change.
  • Ability to make excellent and well justified decisions in complex and high-pressure situations and coach others in decision making.
  • Knowledge of MLOps tools (MLflow, SageMaker Pipelines, feature stores) is an asset.
  • Knowledge of MLOps tools (MLflow, Databricks Model Serving / Mosaic AI, feature stores) is an asset.
  • Experience with Databricks (Unity Catalog, Delta Lake, medallion architecture) and lakehouse / data-mesh patterns is strongly preferred.
  • Knowledge and experience in the insurance industry is considered an asset.

#LI-JB3 #LI-Hybrid


Diversity Equity, Inclusion& Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people - this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas. 
 

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
 

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.  
 

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