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HumanSignal

Data labeling platform with human supervision

Field Data Collection Specialist

Data & AnalyticsConfirmed live in the last 24 hours
Full-timeColumbus, OH, USA$1k - $1.2k /wkIn-person

About the Job

Requirements

  • Have reliable personal transportation and a valid driver's license.
  • Be technically savvy and comfortable learning new devices, applications, and equipment.
  • Be able to work independently, stay organized, and carefully follow detailed instructions.
  • Be dependable and comfortable navigating unfamiliar locations and environments.
  • Stand and walk for extended periods throughout the workday.
  • Walk or hike up to approximately 5 miles at one time and up to approximately 10 miles over the course of a day.
  • Navigate uneven, unpaved, and rough outdoor terrain.
  • Carry approximately 15–20 pounds of field equipment in a backpack for sustained periods while walking or hiking.
  • Work outdoors across varying terrain and typical seasonal weather conditions.
  • Be available occasionally during evenings and weekends.
  • Complete a 3-week contract at approximately 40 hours per week.

Responsibilities

  • Travel to assigned data collection locations within approximately one hour of Columbus.
  • Use mobile devices and specialized equipment to collect field data according to defined project requirements.
  • Follow detailed collection protocols to ensure data is captured accurately and consistently.
  • Navigate assigned locations and complete designated routes independently.
  • Communicate progress, technical issues, and field challenges to the project team.
  • Complete assigned work and project deliverables on schedule.

Desired Qualifications

  • Experience with LiDAR, land surveying, geographic information systems, mapping, or geospatial technology.
  • Experience or a strong interest in hiking, outdoor recreation, location-based activities, or similar activities.

About the Company

HumanSignal

Data labeling platform with human supervision

HumanSignal provides a data labeling platform that helps improve AI models by combining automation with human supervision. Label Studio is a subscription-based tool with features like custom UI building, pre-built labeling templates, team permissions, and workflow optimization, supporting multiple data types so clients can label data using automated processes and human review as needed, with optional custom integrations and advanced support. It differentiates itself by blending automated labeling with human-in-the-loop review in a highly configurable platform, including per-user permissions, adaptable UI, and workflow customization across data types. Its goal is to help organizations produce high-quality labeled data at scale for AI models through a flexible labeling platform plus professional services and integrations.

Company size
51-200
Company stage
Series A
Total funding
$25.2M
Headquarters
San Francisco, CA
Founded
2018

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