Driver/Data Annotation Specialist (Contract)

About Treeswift

In the face of rising threats, increasing pressure on affordability, and unprecedented demand for power, Treeswift empowers energy companies to modernize their field work to meet the growth and challenges ahead. We build physical AI for the field worker: whether on foot or in a vehicle, our technology is an ironman suit for engineers, linemen, and vegetation crews: same worker, same boots on the ground, now operating at 10x productivity. Our platform is powered by cutting-edge hardware, sensors (LiDAR, camera, etc.), AI, and software designed to revolutionize work in the toughest environments.

Since our first pilot with a utility in June 2024, we've grown fast, now working with three of the five largest utilities in the US. To date, our technology has enabled our customers to reduce wildfire risk, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms.

To tackle this challenge, we are bringing together a team of mission-driven experts with deep industry experience in robotics (Penn, Caltech, CMU) and enterprise software development (Palantir, Stripe, Oracle, MongoDB). We have raised funding from leading investors including Penny Pritzker’s Inspired Capital. We are headquartered in midtown Manhattan, with additional offices in San Francisco and Philadelphia.

About the Role

As a Data Annotator at Treeswift, you'll play a crucial role in transforming raw sensor data into insights our utility customers rely on to keep the power on and communities safe. By meticulously analyzing and annotating 3D environments, you will directly influence the accuracy of the models that empower field crews to work smarter and faster. We’re hiring for this role to scale our data operations as our technology sees rapid adoption across major US utilities.

Responsibilities

• Annotate 3D wire spans using our internal tools to generate high-quality datasets, with training provided to set you up for success.
• Ensure data integrity by identifying, documenting, and reporting distortions, doubling, or classification errors within visualizations.
• Partner with a cross-functional team of engineers, QA leads, and field technicians via Slack to streamline workflows and meet project goals.
• Execute on critical project priorities to deliver accurate, actionable insights for utility infrastructure projects across the country, ensuring reliability in every deliverable.
• Provide support by safely operating company vehicles as needed for client-related tasks.

Requirements

• Sharp eye for detail and comfort working solo on focused, repetitive tasks with high accuracy.
• Process-oriented, with experience in data entry, data processing, and maintaining detailed records.
• Comfortable using computer systems and new software technologies effectively.
• Strong attention to visual detail, with an ability to identify and flag subtle anomalies.
• Familiarity with tools like Google Sheets or Airtable.
• Dependable, capable of following through on deadlines with minimal oversight, and thrive in structured, project-based environments.
• Ability to commute to our San Francisco office at least twice a week.
• Valid Driver’s License.

Nice to Have

• Experience manipulating 3D environments or gaming.
• Exposure to utility, energy, or infrastructure industries.
• Creativity with an eye for improving day-to-day workflow.
• Ability to handle subjective decisions thoughtfully and escalate when needed.

Benefits

• Pay rate of $25 per hour with opportunity for overtime.
• Bi-weekly pay schedule.
• Project-based work, with steady volume for the rest of the year.
• Snacks, goodies, and team lunches provided twice a week.

Pay

$25 per hour.

Schedule

Ability to commute to our San Francisco office at least twice a week.

What We Value

• Mission first. We value team members who are focused on working towards the best outcomes for the customer and the business.
• Curiosity. We are constantly learning – from each other and from our customers. We aren’t afraid to learn we were wrong in the process and adapt our approach accordingly.
• Owners mindset. If you see an opportunity for improvement, run with it. We believe that good ideas can come from anywhere, no matter your role.