HumanSignal is seeking a Quality Control Lead to ensure world-class data quality across our Label Studio platform and Data Creation Laboratory operations. In this role, you will be the ultimate authority on the integrity and usefulness of the data we manufacture and deliver to customers. You will drive accountability across our highest-impact projects—tackling complex quality challenges head-on while leading strategic initiatives that enable reliable, scalable delivery as we grow.

Our Data Creation Laboratories don't just label existing data—we manufacture purpose-built datasets from scratch in controlled environments. This means quality control takes on new dimensions: you're not just checking annotations, you're ensuring that the human-generated data we create meets the exacting standards required by frontier AI labs and enterprises pushing the boundaries of what's possible.

You Will:

• Build and lead a high-performing team of quality control specialists who set the standard for data excellence
• Collaborate with delivery teams and laboratory operations to interpret, refine, and exceed customer requirements
• Manage day-to-day operations including workload planning, resource allocation, and performance reporting
• Design and implement scalable quality frameworks and best practices that grow with the organization
• Champion initiatives that drive improvements in quality, operational efficiency, and customer satisfaction
• Serve as the ultimate standard-bearer for data quality, ensuring HumanSignal is recognized as the most trusted source of training data in AI

Ideally You'd Have:

• Bachelor's degree in Computer Science, Engineering, Operations, or a related discipline
• 4+ years of experience leading teams or scaling complex operational or technical processes
• Strong analytical capabilities and problem-solving skills, with proficiency in SQL and meticulous attention to detail
• Demonstrated experience building systems, processes, and teams across diverse customer segments or product offerings
• Hands-on background in operations management, product management, or management consulting at a top-tier firm
• Track record of taking initiative and driving results in cross-functional technical environments

Nice to Haves:

• Master's degree in Computer Science, Engineering, Operations, or a related field
• Experience in AI/ML data operations or services
• Background working in high-growth, dynamic startup environments
• Experience building and scaling teams from the ground up

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.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected].

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.