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.
As a Growth Associate, you'll build the expert supply side of our Data Services business. You'll source, vet, and onboard specialized annotators and performers across dozens of skill profiles and languages. Your pipeline decides how fast we can say yes to a new customer project, which makes your work a direct input to revenue.
What You'll Do- High touch sourcing and recruiting. Use LinkedIn Recruiter, professional communities, universities, and niche networks to find specialists: languages other than English, regional dialect speakers, designers, clinicians, and other hard-to-find profiles.
- Scale sourcing channels. Leverage AI workflows and automation to test and scale channels that convert, from online communities to LinkedIn, while raising the quality bar and annotator experience.
- Establish vetting pipelines. Determine how to vet and assess annotators based on project requirements, expertise, and needs.
- Build relationships. Keep experts engaged between projects so our roster stays warm and staffable, not a list of cold emails.
- Collaborate across teams. Partner with project and delivery leads to translate customer specs into candidate profiles early, so sourcing starts before the project does.
- Drive growth. Staffed capacity is the constraint on how much work we can take. You loosen that constraint.
- 2-5 years of experience in high-volume recruiting
- Experience using LinkedIn Recruiter / Sales Navigator and other sourcing tools
- Fluency building AI workflows to scale what’s working and improve anntotator experience
- Comfort owning funnel metrics: outreach volume, response rates, conversion, time-to-fill
- Strong written communication, responsiveness and professionalism. Most of your outreach happens over email and DMs
- A track record in fast-paced, target-driven environments (startups, agencies, consulting, or similar)
- Resilience, proactivity, and flexibility to adjust strategy when things aren’t working or projects change course
Skills Required
- 2-5 years of experience in high-volume recruiting
- Experience using LinkedIn Recruiter, Sales Navigator, and other sourcing tools
- Fluency building AI workflows to scale effective sourcing and improve annotator experience
- Comfort owning funnel metrics, including outreach volume, response rates, conversion, and time-to-fill
- Strong written communication, responsiveness, and professionalism
- Track record in fast-paced, target-driven environments such as startups, agencies, or consulting
- Resilience, proactivity, and flexibility to adjust strategy when projects or conditions change
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.
