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Sobre este puesto de Audio Editor – Multitrack Dialogue (Remote, Freelance) en HumanSignal

HumanSignal · Presencial · International

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.

Audio Editor – Multitrack Dialogue

  • Location: Remote
  • Type: Contract (20 to 35 hours per week, 2 to 4 weeks initially with potential to extend)
  • Duration: Immediate start; group training on Monday, October 27
You’ll master multitrack recordings from our production studio and deliver them to spec through our platform. Each session captures a user mic, an assistant mic and four channels from a Zoom field recorder. The four-channel portion is where most of the work lives: each channel needs individual leveling, noise reduction and timing alignment so the mix stays even across the stereo field. You’ll work from a rubric, hand off to QA, and flag recording issues (camera movement during dialogue, sync problems) back to the production team.
 
This is a hands-on editing role. We’re looking for people who can work channel by channel in a DAW, not people who rely on one-click AI cleanup tools.

What you’ll do

  • Master roughly one file per 3 hours: clean, denoise, level and align six tracks per session
  • Apply and adjust processing per channel; correct timing offsets between channels
  • Deliver files in the required format and loudness spec through our platform
  • Follow the QA rubric and incorporate feedback from reviewers
  • Note recurring audio problems so the studio team can fix them at the source

What we’re looking for

  • Proficiency in a professional DAW (Reaper, Pro Tools, Adobe Audition, Logic or similar)
  • Experience with multitrack dialogue editing and field recorder audio
  • Strong noise reduction skills (iZotope RX or comparable)
  • Ability to hear and correct timing and phase issues between channels
  • Consistency and speed; you can hit a quality bar repeatedly across dozens of files
  • Availability for full-time hours for at least the next two weeks

Nice to have

  • Background in podcast, film or broadcast post-production
  • Experience working to a rubric or client spec at volume
  • Familiarity with Zoom H-series or F-series recorders
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Sobre 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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