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.
QA Specialist
HumanSignal is looking for QA Specialists to support an audio and video data processing project. You'll work with recorded media files, align audio and video, trim recordings, and perform quality checks using our Label Studio platform and established processing guidelines.
This is a hands-on, detail-oriented role that could be a great fit for individuals with experience in data annotation, media editing, quality assurance, or anyone who is tech-savvy, organized, and comfortable working with digital tools.
What you’ll do
- Retrieve and organize audio and video recordings from designated storage locations and import them into Label Studio.
- Synchronize multiple audio and video recordings, aligning footage and audio waveforms to the correct timestamps according to project guidelines.
- Trim recordings to the required start and end points, ensuring all relevant content is retained.
- Follow established playbooks for media alignment, trimming, file naming, export settings, and file size requirements.
- Perform quality checks to identify missing files, synchronization errors, incomplete recordings, or other inconsistencies.
- Save, export, and organize completed files according to the required formats and submission procedures.
- Troubleshoot basic processing or platform issues, proactively flagging problems and escalating concerns when needed.
- Maintain accuracy and consistency while meeting expected daily processing and quality targets.
- Communicate progress, blockers, and recurring issues to the project team to help improve workflows.
Who you are
- You're detail-oriented, organized, and comfortable working on tasks that require accuracy and consistency.
- You're tech-savvy and confident learning new software, platforms, and digital workflows.
- You can follow detailed instructions and established guidelines with minimal supervision.
- You're proactive, resourceful, and comfortable troubleshooting issues as they arise.
- You communicate clearly and raise concerns early when something doesn't look right.
- You can manage repetitive, detail-heavy tasks while maintaining quality and meeting deadlines.
- Experience with data annotation, quality assurance, audio/video editing, or media processing is a plus, but not required.
Details
- Contract Duration: To be confirmed during the recruitment process
- Up to 40 hours per week
- $30 to $50 per hour, depending on relevant experience
- Occasional evening and weekend availability required
- Remote-US role with team based in Hoboken, NJ and surrounding areas
Skills Required
- Detail-oriented and organized, with strong accuracy and consistency
- Comfortable learning and using new software, platforms, and digital workflows
- Ability to follow detailed instructions with minimal supervision
- Proactive approach to troubleshooting and escalating issues
- Clear communication skills
- Ability to perform repetitive, detail-heavy tasks while meeting deadlines
- Experience with data annotation, quality assurance, audio/video editing, or media processing
- Occasional evening and weekend availability
What We Do
HumanSignal (formerly known as Heartex) 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.
