Utilize the designated "D&A" application for all data capture and upload. * Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts ...
Utilize the designated "D&A" application for all data capture and upload. * Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts ...
Utilize the designated "D&A" application for all data capture and upload. * Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts ...
Utilize the designated "D&A" application for all data capture and upload. * Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts ...
AI Evaluation Engineer
Vancouver, BC · On-site
You will create, configure, and monitor data annotation jobs to keep evaluation and calibration datasets fed on schedule. * You will develop and maintain QA tooling, notebooks, and pipeline ...
AI Evaluation Engineer
Vancouver, BC · On-site
You will create, configure, and monitor data annotation jobs to keep evaluation and calibration datasets fed on schedule. * You will develop and maintain QA tooling, notebooks, and pipeline ...
Design workflows and tools to interface with external data annotation vendors, including REST API uploads and quality checks. * Testing & Reliability: Implement unit testing frameworks using Python ...
Design workflows and tools to interface with external data annotation vendors, including REST API uploads and quality checks. * Testing & Reliability: Implement unit testing frameworks using Python ...
You will create, configure, and monitor data annotation jobs to keep evaluation and calibration datasets fed on schedule. * You will develop and maintain QA tooling, notebooks, and pipeline ...
Quick apply
You will create, configure, and monitor data annotation jobs to keep evaluation and calibration datasets fed on schedule. * You will develop and maintain QA tooling, notebooks, and pipeline ...
Drive the data quality, annotation criteria, and quality standards your models depend on, engaging directly with clinical framing for your domain. * Guide the strategic application of generative and ...
Quick apply
Drive the data quality, annotation criteria, and quality standards your models depend on, engaging directly with clinical framing for your domain. * Guide the strategic application of generative and ...
Drive the data quality, annotation criteria, and quality standards your models depend on, engaging directly with clinical framing for your domain. * Guide the strategic application of generative and ...
Drive the data quality, annotation criteria, and quality standards your models depend on, engaging directly with clinical framing for your domain. * Guide the strategic application of generative and ...
Integrate geotechnical and survey data into models and drawings, working from subsurface ... Set up sheets, layouts, viewports, annotation, and plan production from the model. * Work to and ...
Integrate geotechnical and survey data into models and drawings, working from subsurface ... Set up sheets, layouts, viewports, annotation, and plan production from the model. * Work to and ...
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
... data acquisition, annotation - both human and machine-powered, data pipelines and supporting ML infrastructure). We're excited about the work we are doing in AI. We often describe it as "Mission ...
... data acquisition, annotation - both human and machine-powered, data pipelines and supporting ML infrastructure). We're excited about the work we are doing in AI. We often describe it as "Mission ...
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning ...
Vancouver, BC · On-site +1
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning ...
Vancouver, BC · On-site +1
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Data Annotation information
See British Columbia salary details
$9.13 - $13.22
4% of jobs
$16.50 is the 25th percentile. Wages below this are outliers.
$13.22 - $17.31
26% of jobs
The median wage is $19.75 / hr.
$17.31 - $21.39
33% of jobs
$24.77 is the 75th percentile. Wages above this are outliers.
$21.39 - $25.48
14% of jobs
$25.48 - $29.57
2% of jobs
$29.57 - $33.65
12% of jobs
$33.65 - $37.74
8% of jobs
$37.74 - $41.83
0% of jobs
$41.83 - $45.91
0% of jobs
$45.91 - $50
0% of jobs
$50 - $54.09
1% of jobs
$9
$25
$54
How much do data annotation jobs pay per hour?
As of Jul 27, 2026, the average hourly pay for data annotation in British Columbia is $25.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $30.05 per hour, depending on experience, location, and employer.
What does a typical workday look like for someone in a Data Annotation role?
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.
Is data annotation a genuine job?
Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.
Does data annotation pay well?
Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.
What is a Data Annotation job?
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.
How hard is it to get hired by data annotation?
Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.
What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?
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.
What does a data annotator do?
A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What are the most commonly searched types of Data Annotation jobs in British Columbia? The most popular types of Data Annotation jobs in British Columbia are:
What job categories do people searching Data Annotation jobs in British Columbia look for? The top searched job categories for Data Annotation jobs in British Columbia are:
Part-time
Posted 22 days ago
Job description
This is a project-based opportunity on an AI training platform - not a job. No fixed hours, no commitment beyond what fits your schedule. You record, you get paid.
About the Role
We're looking for people to record point-of-view videos of everyday household activities. You mount your smartphone on your head, go about your routine, and the camera captures exactly what you see. These videos help train AI systems and robots to understand how people interact with objects in real-world environments.
Do you wash dishes every day? Vacuum the rug? Walk the dog? Fold laundry? What if you could get paid just for recording it?
Responsibilities
- Record everyday household activities from a first-person perspective - cooking, cleaning, tidying up, folding laundry, gardening, walking the dog, and more
- Record in your own home, yard, garage, or workspace
- Follow short recording guidelines per session
- Upload videos through the project app
Requirements
- Equipment: Own or use a smartphone or alternative camera device capable of 30 FPS or greater and 1080p resolution or greater. iPhone 12 or newer, Google Pixel 6+, or Samsung Galaxy S21+ (must have a wide-angle / 0.5x lens)
- Capture method: Mount the device at forehead or eye-level for an egocentric perspective, maintaining a downward angle to maximize hand visibility.
- Software: Utilize the designated "D&A" application for all data capture and upload.
- Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts useful, intentional tasks without unnecessary pauses or contrived movements.
Why is this freelance opportunity a great fit for you?
Earn while you do your household chores: up to $6 per hour equivalent depending on the project
This is project-based freelance work - pick up recording sessions when they fit your schedule
Influence the future of how AI and robots understand and interact with the real world