Data Scientist 2
Vancouver, BC · On-site +1
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 ...
Data Scientist 2
Vancouver, BC · On-site +1
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 ...
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 ...
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 ...
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 ...
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 ...
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 Aug 16, 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 data annotation do?
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.
How much money can I make doing data annotation?
Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.
What is a data annotation?
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.
What are the key skills and qualifications needed to thrive in data annotation?
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 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 are popular job titles related to Data Annotation jobs in British Columbia?
For Data Annotation jobs in British Columbia, the most frequently searched job titles 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:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 28 days ago
Kiewit Corporation rating
7.7
Based on 137 frontline employees who took The Breakroom Quiz
24th of 80 rated construction
Job description
Requisition ID: 181479
Job Level: Mid Level
Home District/Group: Kiewit Infrastructure Engineers
Department: Design Engineering
Market: Transportation
Employment Type: Full Time
Position Overview
We are seeking a highly skilled and motivated Applied AI Lead to join our team. This role is critical to building and maintaining scalable data pipelines and infrastructure that support AI and machine learning workflows and systems.
District Overview
KIE 's Design Management team is driving clients to turn to Kiewit during all stages of design-build projects to manage their multi-disciplined design teams to improve schedule, control costs and minimize risk. Our construction-focused engineers analyze root causes and resolve design issues before they impact schedule and budget. Particularly on large design-build projects, clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and design best practices for all projects that we support.
Our participation leads to safe, cost effective, and innovative designs that achieve client expectations and further Kiewit's legacy of excellence.
On our team, you'll have the opportunity to see more, touch more, and do more than you ever imagined. Working hard will not only bring you satisfaction from a job well done, but it will help propel your career forward faster than you might expect. We will train you, develop your skills, and allow you to take on projects that impact millions across North America. With top-notch health benefits, a wealth-building 401k plan (RRSP), and unbeatable growth opportunities, by joining Kiewit, you're ensuring a lifetime of success.
Location
This position is based out of our Burnaby, BC location. Remote work maybe considered for candidates who resides and live within a reasonable distance from from these locations, and depending on qualifications. No relocation is offered for this role.
Responsibilities
Data Pipeline Development: Maintain and enhance scalable Python-based data pipelines to process, synchronize, and structure robotic perception data for ML workflows.
Database & Cloud Storage Management: Manage PostgreSQL AWS RDS instances and AWS S3 buckets to track and store raw and processed multimodal data.
- Tooling & Automation: Build custom Python tools for data extraction and transformation to support internal and downstream ML users. Automate pipeline execution via scheduled batch jobs, transitioning from manual processes to nightly workflows.
Web Application Development: Contribute to a full-stack internal web application (FastAPI backend, React/Next.js TypeScript frontend) for data visualization, search, and cloud job triggering.
Infrastructure-as-Code & DevOps: Manage AWS infrastructure (EKS, ECR, S3, RDS) using Terraform, integrated with GitLab CI/CD for reproducible deployments.
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 to ensure reliability and maintainability of internal tools.
Agile Collaboration: Actively participate in Agile ceremonies including sprint planning, daily stand-ups, and sprint reviews.
Qualifications
- BS in Computer Science or equivalent.
- Proven track record of three years in systems and software development, supporting innovation in North American technology and engineering sectors.
- Demonstrated experience performing as a technical lead with experience managing software teams and the ability to work in a fast-paced, matrixed organization with executive exposure.
- Experience in working on complex projects and/or projects relating to AI, data and machine learning with multiple disciplines.
- Strong proficiency in Python and experience with data pipeline development.
- Must be proficient with AI, Machine Learning, ML workflows and tools.
- Experience collaborating with senior managers to understand drivers of success and departmental goals.
- Strong customer management skills; ability to manage more than one client.
- Strong analytical, problem-solving, and communication skills (oral and written)
- Proven ability to self-direct work efforts and lead others
- Highly motivated, with a demonstrated passion for excellence and taking initiative
- Team player with the ability to work independently to meet deadlines, goals and objectives
- Strong organization, time management, and attention to detail
Other Requirements:
Regular, reliable attendance
Work productively and meet deadlines timely
Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
May work at various different locations and conditions may vary
Base Compensation: $140,000/yr - $146,000/yr
(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)
We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.
We believe in equal opportunity in employment practices without discrimination and comply with all laws regarding human rights in the provinces where we operate.
What Kiewit Corporation employees say
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Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Kiewit
Sourced by ZipRecruiter
Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.
Industry
Construction materials wholesalers
Company size
10,000+ Employees
Headquarters location
Omaha, NE, US
Year founded
1884