Jr Data Analyst
Kelowna, BC · On-site +1
Prepare, clean, label, and organize datasets for analysis and machine learning workflows * Help ... Remote work is fine for this role, but we expect occasional travel for company quarterlies ...
Jr Data Analyst
Kelowna, BC · On-site +1
Prepare, clean, label, and organize datasets for analysis and machine learning workflows * Help ... Remote work is fine for this role, but we expect occasional travel for company quarterlies ...
AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management ... This is a remote position, with a preference for candidates in Canada (Pacific time zone preferred)
AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management ... This is a remote position, with a preference for candidates in Canada (Pacific time zone preferred)
Lead critical RGU forecasting conversations and align performance data across cross-functional ... REMOTE
Lead critical RGU forecasting conversations and align performance data across cross-functional ... REMOTE
Lead critical RGU forecasting conversations and align performance data across cross-functional ... REMOTE
Lead critical RGU forecasting conversations and align performance data across cross-functional ... REMOTE
Remote Data Labeling information
See British Columbia salary details
$10.58 - $16.59
20% of jobs
$17.64 is the 25th percentile. Wages below this are outliers.
$16.59 - $22.60
28% of jobs
The median wage is $23.60 / hr.
$22.60 - $28.61
9% of jobs
$28.61 - $34.62
11% of jobs
$34.62 - $40.63
6% of jobs
$40.93 is the 75th percentile. Wages above this are outliers.
$40.63 - $46.63
5% of jobs
$46.63 - $52.64
4% of jobs
$52.64 - $58.65
4% of jobs
$58.65 - $64.66
4% of jobs
$64.66 - $70.67
4% of jobs
$70.67 - $76.68
3% of jobs
$10
$34
$76
How much do remote data labeling jobs pay per hour?
As of Jul 27, 2026, the average hourly pay for remote data labeling in British Columbia is $34.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $46.39 per hour, depending on experience, location, and employer.
What are some common challenges faced by remote data labelers, and how can they be managed?
Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.
What are the key skills and qualifications needed to thrive in the Remote Data Labeling position, and why are they important?
To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.
What is a Remote Data Labeling job?
A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.
What are the most commonly searched types of Data Labeling jobs in British Columbia? The most popular types of Data Labeling jobs in British Columbia are:
What job categories do people searching Remote Data Labeling jobs in British Columbia look for? The top searched job categories for Remote Data Labeling jobs in British Columbia are:
What cities in British Columbia are hiring for Remote Data Labeling jobs? Cities in British Columbia with the most Remote Data Labeling job openings:
Full-time
PTO
Posted 20 days ago
Job description
Summary
Our core technology is proven; now, we are scaling. We build rugged, sensor-driven systems for high-voltage infrastructure where failure is not an option. We are looking for a Junior Data Analyst to help turn field and lab data into actionable insights for utilities, product development, and machine learning workflows.
In this role, you will support the full data lifecycle: preparing and analyzing datasets, training models, building dashboards, packaging results, and helping translate complex technical data into something our team and customers can actually use. You will work closely with data scientists, engineers, and utility partners to help understand what is happening in the field and how our technology can improve reliability, asset performance, and wildfire risk mitigation.
This is a hands-on role for someone early in their career who is technical, curious, and excited to work on real-world data from critical electrical infrastructure.
Key Responsibilities
- Analyze lab and field data from sensor systems deployed on high-voltage infrastructure
- Support data science workflows, including model training, evaluation, and reporting
- Build dashboards and visualizations that help internal teams and utility partners understand system performance
- Prepare, clean, label, and organize datasets for analysis and machine learning workflows
- Help package analysis results into clear reports, dashboards, and customer-facing insights
- Work with engineers and data scientists to understand signal quality, field behaviour, and asset conditions
- Use Git and standard development workflows to collaborate with the technical team
- Contribute to software and data tools that support pilots, deployments, and product development
- Support model development using tools such as PyTorch Lightning
- Travel occasionally for field deployments, utility meetings, team planning, and project work
- Collaborate across teams to understand different utility environments, customer needs, and deployment contexts
Required Qualifications
- 2+ years of industry experience in data analysis, data science, software, or a related technical role
- Experience working with data science workflows, including data preparation, model training, and analysis
- Some software development experience
- Experience using Git
- Familiarity with PyTorch Lightning or similar machine learning frameworks
- Programming experience in one or more of the following: Python, C++, Java, PHP
- Ability to work well in cross-functional teams
- Strong communication skills and the ability to explain technical findings clearly
- Willingness and ability to travel occasionally
- We work in a hybrid capacity with Tuesdays generally in office.
Preferred Qualifications
- Experience working with utilities, energy systems, asset management, or industrial infrastructure
- Exposure to sensor data, IoT systems, electrical infrastructure, or field-deployed hardware
- Experience building dashboards for technical or operational users
- Experience contributing to product-grade code
- Familiarity with asset management workflows in utilities
- Interest in applying data science to real-world infrastructure, reliability, and wildfire risk reduction
- Startup experience or comfort working in a fast-moving environment where priorities evolve quickly
Why Join Us
You will work on technology deployed directly on critical electrical infrastructure, where data has real-world consequences. Our platform uses signals from the grid to detect early signs of failure, helping utilities improve reliability, reduce outages, and lower wildfire risk.
This is a great opportunity for someone who wants to grow as a data professional while working on problems that matter. You will not just be building dashboards in isolation. You will be helping connect field data, machine learning, product development, and customer insight into one practical workflow.
You will have the opportunity to train models, build dashboards, analyze real deployment data, and help turn complex technical information into decisions utilities can act on.
Bonus
Everyone at the company receives 5 weeks of vacation plus a mandatory Christmas shutdown. Remote work is fine for this role, but we expect occasional travel for company quarterlies, planning sessions, and field-related work.
Hint: If you really want to stand out, include a cover letter and make it authentic. We read every single one and have hired people based on their cover letters alone.