Entry Level Ai Data Labeling Jobs in British Columbia

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.