3D Data Annotator for Field Infrastructure — San Francisco

Treeswift; San Francisco (CA); On-site; USD 29,000 - 40,000; Full time

Benefits offered by this job

Hourly pay

Bi-weekly pay

Project-based

Team meals

Job summary

Treeswift in San Francisco is seeking a Data Annotator to transform raw sensor data into actionable insights for utility customers. You will meticulously annotate 3D environments to improve model accuracy used by field crews.

This role emphasizes data integrity, reporting distortions, and collaborating with engineers, QA leads, and field technicians. Training provided; commuting to SF office at least twice weekly; hourly pay $25 with overtime opportunities.

Qualifications

• Detail-oriented and capable of focused, repetitive tasks with high accuracy.
• Experience with data entry and data processing workflows.
• Ability to maintain thorough records and follow structured processes.
• Familiarity with cloud-based collaboration tools and data systems.
• Comfort with Slack for cross-functional coordination.

Responsibilities

• Annotate 3D wire spans and sensor data to generate high-quality datasets.
• Identify, document, and report distortions or classification errors in visualizations.
• Collaborate with engineers, QA leads, and field technicians to streamline workflows.
• Deliver accurate, actionable insights for utility infrastructure projects nationwide.
• Safely operate company vehicles for client-related tasks when required.

Skills

Detail-oriented

Data entry

Data processing

Self-motivated

Slack

Tools

Google Sheets

Airtable

Slack

Job description

Treeswift in San Francisco is seeking a Data Annotator to transform raw sensor data into actionable insights for utility customers. You will meticulously annotate 3D environments to improve model accuracy used by field crews.

This role emphasizes data integrity, reporting distortions, and collaborating with engineers, QA leads, and field technicians. Training provided; commuting to SF office at least twice weekly; hourly pay $25 with overtime opportunities.