Jobs Companies HumanSignal Content Creator (Flexible Gig)

À propos de ce poste Content Creator (Flexible Gig) chez HumanSignal

HumanSignal · Télétravail · Remote

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 Content Creator — Get Paid to Create Short-Form Content!

Do you love being on camera? Enjoy creating content and telling stories? Want to get paid competitively for short, flexible projects you can do on your own schedule?

We're looking for engaging, creative individuals to join us as AI Content Creators. In this role, your personality and creativity are your biggest assets. You'll help shape the future of AI by producing short-form video content based on project briefs — no two assignments are exactly alike.

What You'll Do

As an AI Content Creator, you will:

  • Film short video clips ranging from 30 seconds to 2 hours based on project guidelines
  • Create content across a variety of topics, formats, styles, and settings
  • Follow detailed creative briefs to ensure content quality, variation, and accuracy
  • Upload completed content through provided tools and platforms
  • Work independently, manage your own 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:

  • Are comfortable and confident on camera
  • Are reliable, self-motivated, and can take direction well
  • Enjoy task-based, flexible work that changes from project to project
  • Have a smartphone or camera capable of shooting quality video
  • Can follow creative briefs carefully and consistently
  • Experience as a content creator is a plus, but not required

Why You'll Love This Role

  • Competitive pay — average $80/hour for approved work
  • Flexible schedule — create content when and where it fits your life
  • Perfect for creators, performers, and anyone who loves being on camera
  • A chance to directly influence cutting-edge AI systems
  • No prior experience required — just confidence, creativity, and a willingness to show up!

If you're ready for gig work that lets you express yourself and get paid for it, we'd love to have you. Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.

Up to $80/hour for US-based candidates.

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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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