HumanSignal

Audio Editor – Multitrack Dialogue (Remote, Freelance)

HumanSignal  •  International City, AE (Remote)  •  4 hours ago
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Job Description

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
HumanSignal

About HumanSignal

HumanSignal 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.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
San Francisco, California
Year Founded
2019
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