--- title: 'Audio Editor – Multitrack Dialogue (Remote, Freelance) at HumanSignal' canonical: 'https://feeny.ai/job/audio-editor-multitrack-dialogue-remote-freelance-humansignal-global-wzmq6mechemh' type: 'job' last_seen: '2026-10-27' --- # Audio Editor – Multitrack Dialogue (Remote, Freelance) at HumanSignal - **Company:** HumanSignal - **Location:** Global - **Work type:** remote - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-10-27 - **Apply:** https://job-boards.greenhouse.io/humansignal/jobs/6232185004 ## 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 ## About HumanSignal ## Company Overview - **One-liner**: HumanSignal provides an open-source and enterprise data labeling platform that enables AI teams to build high-quality datasets, evaluate models, and scale human judgment for machine learning. - **Entity Type**: Private (startup; $30M total funding raised from venture investors) - **Headquarters**: San Francisco, California, United States - **Founded**: 2019 - **Founders**: Not publicly named on the website, but described as a team of Data Scientists and ML Engineers who met on a Himalayan expedition. ## Core Business - Primary industry: Data labeling, AI training data, machine learning operations (MLOps), data-centric AI infrastructure. - Target customers: B2B – data science teams at enterprises, AI startups, and organizations building custom ML/AI models (e.g., Bombora, Zendesk, Outreach, Trivago, Wyze). - Mission: “To advance data-centric AI” and “help data scientists use data to teach ML/AI models how to make the best predictions.” ## Products & Services - **[Label Studio (Open Source)](https://humansignal.com/)**: The most popular open-source data labeling platform, used by over 1,000,000 AI practitioners. Supports annotation of text, images, audio, video, 3D sensor data, and more. Available as a community edition. - **[Label Studio Enterprise](https://humansignal.com/)**: A commercial SaaS/on-prem version with enhanced security, automation, quality review workflows, performance reporting, and integrations. Designed for production ML/AI teams. - **[Data Services (Human-in-the-Loop)](https://humansignal.com/)**: Managed labeling, evaluation, red teaming, fine-tuning, and custom benchmark creation. HumanSignal’s expert annotators and project managers partner with teams to deliver high-quality datasets. - **AI-assisted annotation & evaluation**: Tools for auto-labeling, LLM evaluation, RAG optimization, prompt engineering, and continuous model validation. ## Market Standing - **Valuation**: Not disclosed. - **Key Metric**: Total funding of **$30 million** (raised from proven investors as of 2025). - **Notable Investors**: Redpoint Ventures, Unusual Ventures, Bow Capital, Swift Ventures. - **Growth Signals**: - Headcount grew **83.7% YoY** to ~72 employees; operates in 18 countries. - Label Studio community: **250,000+ users** and **20,000+ GitHub stars**. - Over **100 million pieces of data** annotated by the community. - Acquired **Erud AI** in November 2025 to launch multimodal data services. - Label Studio Enterprise now available in AWS Marketplace (December 2025). - Customers include Bombora, Geberit, Outreach, Trivago, Zendesk, Wyze. ## Competitive Advantages - **Open-source dominance**: Label Studio is the most widely adopted open-source data labeling tool, giving HumanSignal a massive community, low barrier to entry, and built-in trust. - **Data-centric AI philosophy**: Differentiates by emphasizing domain experts and internal teams owning the labeling process, reducing bias, and integrating human judgment at scale. - **Flexible deployment**: Cloud or on-premises, with deep integration capabilities via APIs and agent skills. - **End-to-end services**: From labeling to evaluation, red teaming, and fine-tuning – a single vendor for the full human-in-the-loop pipeline. ## Strategic Focus - Continue expanding the Label Studio open-source ecosystem and enterprise adoption. - Grow multimodal data services (text, image, video, 3D, audio) – acquisition of Erud AI signals this priority. - Build internal data factories for customers who prefer to run their own labeling operations. - Strengthen integrations with major ML/AI platforms and cloud marketplaces (e.g., AWS). - Secure enterprise customers in regulated industries (on-prem capability). ## Why Work Here - **Remote-first culture**: Distributed team across North America, Europe, and South America; annual team offsites (virtual and in-person). - **Inclusive environment**: Emphasis on authenticity, diversity, and psychological safety. - **Competitive compensation**: Salary + equity ownership in a venture-backed startup. - **Time off**: Generous vacation package, recognition of local holidays. - **Growth opportunities**: Fast-growing company (83% headcount increase) with roles in Engineering, Data Services, and Operations. - **Impact**: Work on one of the most critical infrastructure layers for AI/ML, with a strong open-source community. - **Current openings (as of mid-2026)**: Senior Backend, Frontend, Full Stack Engineers (remote); Delivery Leads, AI Trainers, Operations roles. ## Sources 1. [humansignal.com](https://humansignal.com/) 2. [humansignal.com/about](https://humansignal.com/about/) 3. [humansignal.com/careers](https://humansignal.com/careers/) 4. [linkedin.com/company/humansignal](https://www.linkedin.com/company/humansignal) 5. 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