Employer-provided description
<div class="content-intro"><h2><strong>About HumanSignal</strong></h2> <p>Real-world data is the competitive edge in AI.</p> <p>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.</p> <p><br>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.</p> <p><br>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.</p> <p><br>If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.</p></div><h1 class="font-claude-response-title mt-1 text-text-100">Audio Editor – Multitrack Dialogue</h1> <ul> <li><strong>Location: </strong>Remote</li> <li><strong>Type:</strong><span class="Apple-converted-space"> Contract (</span>20 to 35 hours per week, 2 to 4 weeks initially with potential to extend)</li> <li><strong>Duration: </strong>Immediate start; group training on Monday, October 27</li> </ul> <div>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.</div> <div> </div> <div>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.</div> <h2>What you’ll do</h2> <ul> <li>Master roughly one file per 3 hours: clean, denoise, level and align six tracks per session</li> <li>Apply and adjust processing per channel; correct timing offsets between channels</li> <li>Deliver files in the required format and loudness spec through our platform</li> <li>Follow the QA rubric and incorporate feedback from reviewers</li> <li>Note recurring audio problems so the studio team can fix them at the source</li> </ul> <h2>What we’re looking for</h2> <ul> <li>Proficiency in a professional DAW (Reaper, Pro Tools, Adobe Audition, Logic or similar)</li> <li>Experience with multitrack dialogue editing and field recorder audio</li> <li>Strong noise reduction skills (iZotope RX or comparable)</li> <li>Ability to hear and correct timing and phase issues between channels</li> <li>Consistency and speed; you can hit a quality bar repeatedly across dozens of files</li> <li>Availability for full-time hours for at least the next two weeks</li> </ul> <h2>Nice to have</h2> <ul> <li>Background in podcast, film or broadcast post-production</li> <li>Experience working to a rubric or client spec at volume</li> <li>Familiarity with Zoom H-series or F-series recorders</li> </ul>
External opportunity. AI Trainers is not the employer. This posting was collected from a public career page. Application is completed on the employer’s website.