Remote work maybe considered for candidates who resides and live within a reasonable distance from ... Design workflows and tools to interface with external data annotation vendors, including REST API ...
Remote work maybe considered for candidates who resides and live within a reasonable distance from ... Design workflows and tools to interface with external data annotation vendors, including REST API ...
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning ...
Vancouver, BC · On-site +1
Toronto Remote French translation to follow!/Traduction francaise a suivre! About Autodesk AI Lab ... Rather than relying solely on human preference data, we can ground reinforcement learning in the ...
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning ...
Vancouver, BC · On-site +1
Toronto Remote French translation to follow!/Traduction francaise a suivre! About Autodesk AI Lab ... Rather than relying solely on human preference data, we can ground reinforcement learning in the ...
Remote Data Annotation information
See Burnaby, BC salary details
$10.15 - $16.19
12% of jobs
$18.75 is the 25th percentile. Wages below this are outliers.
$16.19 - $22.22
32% of jobs
The median wage is $25.24 / hr.
$22.22 - $28.26
14% of jobs
$28.26 - $34.30
13% of jobs
$38.83 is the 75th percentile. Wages above this are outliers.
$34.30 - $40.34
7% of jobs
$40.34 - $46.38
4% of jobs
$46.38 - $52.42
4% of jobs
$52.42 - $58.46
4% of jobs
$58.46 - $64.50
4% of jobs
$64.50 - $70.54
3% of jobs
$70.54 - $76.58
3% of jobs
$10
$34
$76
How much do remote data annotation jobs pay per hour?
As of Jul 27, 2026, the average hourly pay for remote data annotation in Burnaby, BC is $34.43, according to ZipRecruiter salary data. Most workers in this role earn between $17.63 and $44.69 per hour, depending on experience, location, and employer.
How hard is it to get hired by data annotation?
Getting hired for a remote data annotation role typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the application process relatively accessible, though competition can vary based on the employer and job volume.
What are the key skills and qualifications needed to thrive in the Remote Data Annotation position, and why are they important?
To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.
How to make $1000 a week remote?
Remote data annotation jobs typically pay per task or hour, with earnings varying based on experience, accuracy, and the complexity of the data. To make $1000 a week, you need to work consistently, often requiring 20-40 hours depending on pay rates, which can range from a few cents to several dollars per annotation. Building skills in specific tools and maintaining high accuracy can help increase your earning potential in this field.
What are the typical daily tasks for someone working in Remote Data Annotation?
Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.
How can I make 2000 a week working from home?
Remote data annotation jobs can pay between $10 and $20 per hour, so earning $2000 weekly would require working approximately 100 to 200 hours. Increasing income may involve taking on multiple projects, improving accuracy to access higher-paying tasks, or gaining specialized skills in areas like medical or AI data annotation. Consistent work and efficient time management are essential to reach this income level.
What is a Remote Data Annotation job?
A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.
Does data annotation actually pay?
Data annotation jobs typically pay hourly or per task rates, with compensation varying based on complexity and platform. Many remote data annotation roles offer competitive pay, especially for experienced annotators using tools like labeling software, and some positions provide consistent income. However, pay rates can differ widely across companies and projects, so it is important to research specific opportunities.
What job categories do people searching Remote Data Annotation jobs in Burnaby, BC look for? The top searched job categories for Remote Data Annotation jobs in Burnaby, BC are:
What cities near Burnaby, BC are hiring for Remote Data Annotation jobs? Cities near Burnaby, BC with the most Remote Data Annotation job openings:
Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 7 days ago
Kiewit Corporation rating
7.9
Based on 135 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: $120,000/yr - $150,000/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.
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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