Jobs Companies HumanSignal Data Collection Contributor

Sobre esta vaga de Data Collection Contributor na HumanSignal

HumanSignal · Presencial · Colombia

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.

(COLOMBIA BASED) 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.
Note: all data collections must be completed safely and lawfully. Never complete data collection in a way that would risk injury to you or others.


Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.

Up to $8/hour

Pronto para se candidatar à HumanSignal?
Candidatar-se à HumanSignal

Como este salário de Voice & Speech Data se compara

Esta vaga paga $16,640/yrabaixo da faixa típica para vagas de Voice & Speech Data.

$19,448 a mediana $73,840 $88,920

Faixa típica $36,140–$73,840/yr, com base em 63 vagas de Voice & Speech Data comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Voice & Speech Data →

Sobre a 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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