Human Archive (YC W26) is hiring someone to lead our end-to-end data annotation operations.
You will work directly with the founder to build and manage a high-performing annotator workforce for robotics data. Your job is to ensure we consistently have the right people, quality, and throughput across multiple projects running simultaneously.
This is a highly hands-on role for someone who is excellent with people, metrics, and fast-moving operations.
Recruit, evaluate, and manage high-quality data annotators
Maintain a high bar for annotation quality and workforce performance
Allocate annotators across multiple simultaneous projects
Track daily throughput, quality, attendance, utilisation, and project targets
Build dashboards and operating systems with our engineering team
Identify bottlenecks and improve annotation workflows
Design incentives that help teams consistently meet daily targets
Forecast staffing requirements for upcoming projects
Manage team leads and resolve day-to-day operational issues
Build processes that can scale from hundreds to thousands of annotators
Extremely good with people and frontline teams
Strong analytical ability and comfort with metrics and dashboards
Excellent at prioritisation and resource allocation
Highly organised and able to manage multiple projects at once
Creative about incentives, hiring, performance, and operations
Clear, direct, and fast communicator
High ownership, energy, urgency, and agency
Comfortable working in a demanding, fast-changing startup environment
Experience at companies such as Surge AI, Scale AI, Mercor, Turing, Outlier, Remotasks, or similar workforce and data-operations businesses is a strong advantage.
Ideally 2+ YOE
Location
On-site in Bangalore.
Skills Required
- At least 2 years of professional experience
- Experience managing frontline teams and people
- Strong analytical ability and comfort with metrics and dashboards
- Experience with prioritization and resource allocation
- Ability to manage multiple projects simultaneously
- Experience in workforce or data-operations businesses such as Surge AI, Scale AI, Mercor, Turing, Outlier, or Remotasks
- Excellent communication, organization, and operational problem-solving skills
- Comfort working in a demanding, fast-changing startup environment
What We Do
Human Archive is a data infrastructure company that collects, labels, and synchronizes multimodal data (video, sensor, audio) to create datasets for training embodied AI and robotics systems. Founded by researchers from Stanford and Berkeley, the company aims to advance robotics foundation models by capturing real-world physical data, helping to automate manual labor and improve understanding of human cognition and spatial computing.
