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À propos de ce poste Field Data Collection Specialist (Columbus, OH) chez HumanSignal

HumanSignal · Sur site · Columbus, Ohio

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.


We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

Field Data Collection Specialist

HumanSignal is looking for Field Data Collection Specialists in the Columbus area to support a short-term, outdoor data collection project. You’ll travel to assigned locations, navigate a variety of outdoor environments, and use specialized equipment to collect high-quality field data.

This is an active, hands-on role that could be a great fit for hikers, outdoor enthusiasts, land surveyors, or anyone who enjoys spending significant time outdoors, navigating different locations, and working with technology.

What you’ll do

  • 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.

Who you are

  • You have reliable personal transportation and a valid driver’s license.
  • You are technically savvy and comfortable learning new devices, applications, and equipment.
  • You can work independently, stay organized, and carefully follow detailed instructions.
  • You are dependable and comfortable navigating unfamiliar locations and environments.
  • Experience with LiDAR, land surveying, GIS, mapping, or geospatial technology is a plus, but not required.
  • Experience or a strong interest in hiking, outdoor recreation, location-based activities, or similar activities is a plus.

Physical & field requirements

The following are essential functions of this field-based role and must be performed with or without reasonable accommodation:

  • 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.

HumanSignal will consider reasonable accommodations for qualified individuals with disabilities to enable them to perform the essential functions of the role.

Details

  • 3-week contract
  • Approximately 40 hours/week
  • $1,000–$1,200/week, depending on relevant experience
  • Occasional evening and weekend availability required
  • Field-based work in Columbus and surrounding areas
  • Reliable personal transportation required
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À propos de HumanSignal

We build software that helps people do what only they can do – give meaning.

Data fills our modern world. It flows prolifically inside organizations, customer interactions, product usage, environmental research, healthcare imaging, and beyond. What if we could use any of this historical data to predict the future? In most cases, we can now make predictions through Machine Learning & AI, but to do so in a meaningful and impactful way, historical data needs to be accurate, comprehensive, and without bias.

 

To make the best predictions, we believe teams with domain expertise should be responsible for annotating and curating data. It's called data labeling, and it’s a process of real people giving meaning to the information they see on the screen. HumanSignal was founded to take data labeling operations to the next level and help data scientists make better predictions.

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