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
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