Head of Data Creation Labs

HumanSignal • Columbus, OH

55d • Hybrid

About The Position

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. Data Laboratory Operations Lead HumanSignal is pioneering a revolutionary approach to AI training data through our Data Creation Laboratories—and we're looking for a Data Laboratory Operations Lead to run the show on the ground. This isn't about labeling existing data. We manufacture purpose-built datasets from scratch in controlled environments, replicating real-world scenarios to create the human-generated data that will unlock the next generation of AI capabilities. As the operational engine behind one of our laboratories, you'll orchestrate everything required to turn ambitious data creation plans into reality. You'll manage the workforce, coordinate complex data collection scenarios, handle the logistics that keep operations running smoothly, and ensure we deliver world-class datasets to frontier AI labs and Fortune 500 enterprises. This is a rare opportunity to build something from the ground up—combining hands-on operational leadership with strategic thinking about how we scale data manufacturing. If you're energized by the idea of running a high-performance operation where your work directly impacts breakthrough AI applications, this role is for you.

Requirements

• 3-5 years of experience in operations management, workforce management, production operations, or logistics coordination
• Proven track record managing teams of 10+ people in fast-paced, dynamic environments
• Strong organizational skills with ability to juggle multiple projects, priorities, and stakeholders simultaneously
• Hands-on leadership style—you're comfortable being on-site, rolling up your sleeves, and working alongside your team
• Experience with workforce scheduling, resource planning, and operational logistics
• Proficiency with operational tools and systems (scheduling software, project management tools, Google Workspace/Microsoft Office)
• Excellent communication skills and comfort interfacing with both your team and external stakeholders including customers
• Problem-solving mindset with ability to adapt quickly when plans change
• Attention to detail and commitment to quality—you understand that small operational issues can cascade into big delivery problems

Nice To Haves

• Background in production environments, studios, testing facilities, or other operations-heavy settings where you've coordinated complex workflows
• Experience with data collection, research operations, or working in AI/ML environments
• Prior experience scaling operations from small to large teams
• Technical aptitude or understanding of how data collection feeds into AI model training
• Startup or high-growth company experience where you've built processes from scratch

Responsibilities

• Own end-to-end laboratory operations: Manage daily workforce scheduling, resource allocation, and operational logistics to ensure seamless data collection and production
• Lead and develop your team: Recruit, train, coach, and manage data collectors and operators who execute complex data creation scenarios on-site
• Orchestrate data collection projects: Translate customer requirements into operational plans, coordinating multi-phase data collection efforts that may involve specific environments, equipment, or scenarios
• Drive operational excellence: Build processes and systems that make data creation faster, more consistent, and higher quality as we scale
• Manage the administrative backbone: Handle workforce management, timekeeping, compliance documentation, supply procurement, facility coordination, and operational reporting
• Partner cross-functionally: Work closely with delivery leads, quality control teams, project managers, and customers to ensure alignment between what's promised and what's delivered
• Solve problems in real-time: Troubleshoot operational challenges on the fly—whether that's staffing gaps, equipment issues, or unexpected project changes
• Scale smart: Identify opportunities to optimize operations, improve efficiency, and prepare the laboratory for growth

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees