AI Data Collector: Flexible Hours for Real-World Data

HumanSignal (Label Studio)

Colombia

On-site

COP 22,293,000 - 35,668,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Flexible schedule
1099 contractor

Job summary

HumanSignal in Colombia is seeking AI Data Collectors to turn real-world observations into labeled data for AI models. You’ll capture high-quality images across environments, following project guidelines, with flexibility and independence.

Ideal candidates are curious, detail-oriented, reliable, and able to work solo. No prior experience required—just enthusiasm, a smartphone or camera with good image quality, and the ability to follow instructions.

Qualifications

  • Curious, detail-oriented individuals to join as AI Data Collectors.
  • Reliable, self-motivated, comfortable working solo.
  • Enjoy task-based, flexible work that varies by project.
  • Have a smartphone or camera with solid image quality.
  • Able to follow instructions carefully and consistently.

Responsibilities

  • Capture assigned images in real-world environments following project guidelines.
  • Photograph objects, scenes, or activities across a wide range of settings.
  • 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 data through provided tools.
  • Work independently, manage your time, and meet project deadlines.
  • Support the development and improvement of next-generation AI technologies.

Skills

Curious
Detail-oriented
Reliable
Self-motivated
Able to work solo
Flexible

Job description

HumanSignal in Colombia is seeking AI Data Collectors to turn real-world observations into labeled data for AI models. You’ll capture high-quality images across environments, following project guidelines, with flexibility and independence.

Ideal candidates are curious, detail-oriented, reliable, and able to work solo. No prior experience required—just enthusiasm, a smartphone or camera with good image quality, and the ability to follow instructions.

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