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Human Archive

Provides real-world multimodal data for robotics

Dark Store & Inventory Operations Lead

Inventory Control & Cycle CountingConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, India₹800k - ₹1.2M /yrIn-person

About the Job

Requirements

  • Experience managing a dark store, warehouse, fulfilment centre, or inventory operation.
  • Strong operational discipline and attention to detail.
  • Comfort working with physical hardware and high-volume daily dispatches.
  • Ability to build simple, reliable systems from scratch.
  • Comfort managing frontline teams and day-to-day operations.
  • Willingness to work hands-on.

Responsibilities

  • Set up and manage the hardware dark store.
  • Create systems for inventory tracking, storage, dispatch, and returns.
  • Issue cameras and equipment to field teams every morning.
  • Collect and reconcile all equipment at the end of each day.
  • Track which person has each device or accessory.
  • Ensure cameras, power banks, and other equipment are charged and ready.
  • Identify missing, damaged, or faulty equipment.
  • Maintain accurate daily inventory records.
  • Manage repairs, replacements, and procurement requirements.
  • Design processes that can scale as operations grow.
  • Hire and manage additional store or inventory staff as required.

Desired Qualifications

  • Experience at companies such as Blinkit, Zepto, Instamart, Swiggy, Amazon, Flipkart, Delhivery, or similar operations-driven businesses.

About the Company

Human Archive

Provides real-world multimodal data for robotics

Human Archive collects and curates real-world, multimodal data to train physical AI and robotics systems. It uses a hardware-enabled platform with camera-equipped headsets, tactile gloves, and motion-capture systems to record and synchronize egocentric video, depth, audio, motion, and haptic logs across homes, restaurants, and industrial settings. The data undergoes quality assurance, anonymization, and annotation to produce high-fidelity datasets for robotics companies and AI research labs. By providing large-scale data collection and labeling infrastructure through its partner network, the company aims to address the shortage of real-world training data for embodied intelligence and physical AI models.

Company size
51-200
Company stage
Seed
Total funding
$8.3M
Headquarters
San Francisco, CA
Founded
2025

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