Data Collector (International)

Reposted 10 Days Ago
Be an Early Applicant
Hiring Remotely in International, Batken, KGZ
Remote
Entry level
Software
The Role
As an AI Data Collector, you will capture images in various environments, following guidelines to ensure quality and accuracy while working independently.
Summary Generated by Built In
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.

AI Data Collector — Turn the World Into Your Workplace!

Do you love scavenger hunts?
Enjoy exploring the world around you?
Want to get paid competitively while doing something fun, flexible, and impactful?

We’re looking for curious, detail-oriented individuals to join us as AI Data Collectors. In this role, the world becomes your workspace. You’ll help shape the future of AI by capturing high-quality images based on project guidelines—no two assignments are exactly the same.

What You’ll Do

As an AI Data Collector, you will:

  • Capture assigned images in real-world environments, following specific project guidelines.

  • Photograph objects, scenes, or activities across a wide range of settings, backgrounds, lighting conditions, and angles.

  • Travel locally to collect data in homes, offices, stores, parks, streets, or other everyday locations.

  • Follow detailed instructions to ensure image quality, variation, and accuracy.

  • Document your process when needed and upload collected data through provided tools.

  • Work independently, manage your time, and meet project deadlines.

  • Support the development and improvement of next-generation AI technologies.

Who You Are

You’ll thrive in this role if you:

  • Love exploring new places and noticing details others might miss

  • Are reliable, self-motivated, and comfortable working solo

  • Enjoy task-based, flexible work that changes from project to project

  • Have a smartphone or camera with solid image quality

  • Can follow instructions carefully and consistently

Why You’ll Love This Role
  • Competitive pay

  • Flexible schedule — work when and where it fits your life

  • Perfect for people who enjoy movement, creativity, and variety

  • A chance to directly influence cutting-edge AI systems

  • No prior experience needed — just enthusiasm and a keen eye!

If you’re ready for work that feels like a real-world scavenger hunt with real rewards, we’d love to have you work with us.
Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.

Up to $20/hour for US based candidates.

Skills Required

  • Smartphone or camera with solid image quality
  • Ability to follow detailed instructions
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The Company
HQ: San Francisco, California
51 Employees
Year Founded: 2019

What We Do

HumanSignal (formerly known as Heartex) enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation. Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.

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