Chief of Staff
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What you'll do
- 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
What they're looking for
- 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
Nice to have
- Experience at companies such as Surge AI, Scale AI, Mercor, Turing, Outlier, Remotasks, or similar workforce and data-operations businesses is a strong advantage.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
About the role
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.
What you will do
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
Who we are looking for
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.
Company
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