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High Volume Recruiter
High Volume RecruiterHumanSignal • Austin, TX, US
High Volume Recruiter

High Volume Recruiter

HumanSignal • Austin, TX, US
[job_card.variable_days_ago]
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  • [job_card.full_time]
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Job Description

Job Description

The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.

At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.

Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.

Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk.

High-Volume Recruiter

HumanSignal is scaling rapidly, and we need an exceptional recruiter to help us build the teams that will define the future of AI infrastructure. As a High-Volume Recruiter, you'll be instrumental in attracting and hiring talent across our Data Creation Laboratories and platform operations—filling critical roles that enable us to manufacture the purpose-built datasets powering breakthrough AI applications.

Our mission demands scale : we're building data laboratories, expanding platform capabilities, and growing teams across technical operations, engineering, and customer-facing functions. You'll be responsible for managing high-volume hiring pipelines while maintaining the quality bar that makes HumanSignal exceptional. This isn't just about filling seats—it's about finding people who are energized by our vision to harness human intelligence to power the future of AI.

You Will :

  • Own end-to-end recruitment for high-volume roles across operations, laboratory staff, quality control, customer success, and technical functions
  • Build and manage robust candidate pipelines that consistently deliver quality hires at scale
  • Partner closely with hiring managers to understand role requirements, team dynamics, and what excellence looks like for each position
  • Design and implement creative sourcing strategies to reach passive candidates and underrepresented talent pools
  • Deliver an exceptional candidate experience that reflects HumanSignal's values and culture, even at high volume
  • Track and optimize key recruiting metrics including time-to-fill, pipeline health, offer acceptance rates, and quality of hire
  • Continuously improve recruiting processes, tools, and workflows to increase efficiency without sacrificing quality
  • Collaborate with cross-functional teams including HR, operations leadership, and executive stakeholders on workforce planning and hiring strategy

Ideally You'd Have :

  • 3+ years of full-cycle recruiting experience with proven success in high-volume hiring environments
  • Track record of filling 15+ roles per month while maintaining strong quality of hire metrics
  • Experience recruiting for operations-heavy or services businesses (e.g., marketplaces, logistics, BPO, data operations)
  • Expertise in sourcing techniques beyond standard job boards—creative approaches to finding talent where others aren't looking
  • Strong ability to assess candidates for both technical capabilities and cultural fit in fast-paced environments
  • Excellent organizational skills and ability to manage multiple searches simultaneously without dropping balls
  • Data-driven mindset with experience using recruiting analytics to optimize outcomes
  • Comfort operating in ambiguity and adapting quickly as business needs evolve
  • Nice to Haves :

  • Experience recruiting for AI / ML companies or technical data operations roles
  • Familiarity with recruiting for international or distributed teams
  • Background in startup or high-growth environments where you've helped scale teams from 50 to 200+ employees
  • Experience with modern ATS platforms and recruiting tools (Greenhouse, Lever, Ashby, LinkedIn Recruiter, etc.)
  • Multilingual capabilities
  • About HumanSignal

    At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require.

    We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability.

    We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future.

    We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status.

    At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $75,000 to $110,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

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