---
title: 'Deployment Associate - Field Operations at Human Archive'
canonical: 'https://feeny.ai/job/deployment-associate-field-operations-human-archive-india-k919yyjc5q57'
type: 'job'
last_seen: '2026-09-09'
---

# Deployment Associate - Field Operations at Human Archive

- **Company:** Human Archive
- **Location:** India
- **Employment:** full-time
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/humanarchive/64998dcd-4f97-4c9f-b908-3ccb61311790

## Job description

## ABOUT THE ROLE

Human Archive runs large-scale field deployments to collect egocentric robotics data.

We are hiring a Deployment Associate to be our person on the ground at every site. You will be the site lead for your deployment - setting up and running the capture devices, building and maintaining the task taxonomy that defines what gets collected, supervising the workers performing the tasks, and making sure every hour of data that leaves the site is clean, complete, and correctly labelled.

This is the role that decides whether a deployment produces usable data or unusable data. It is hands-on, detail-heavy, and best suited to someone who is equally comfortable talking to workers on a shop floor and enforcing a strict data protocol.

## WHAT YOU WILL DO

Own the taxonomy

- Build and maintain the task and activity taxonomy for each deployment - the breakdown of tasks, sub-tasks, objects, and environments being captured
- Study the site's real workflows and translate them into a clear, consistent, collectable structure
- Keep naming conventions, labels, and category definitions consistent across sites, days, and operators
- Flag gaps, overlaps, and ambiguous categories, and refine the taxonomy as new environments are onboarded

Run the site

- Act as site lead for the deployment - first point of contact for the client site, the workers, and the internal team
- Brief workers on what is being captured, how, and why, and keep them productive through the day
- Supervise, correct, and re-train operators in real time so capture quality does not drift
- Track daily targets - hours captured, tasks covered, sessions completed - and report progress

Deploy the hardware

- Set up, fit, calibrate, and troubleshoot capture devices (head-mounted cameras, sensors, recorders, batteries, storage)
- Manage charging, storage cards, device assignment, and end-of-day teardown
- Diagnose and resolve device failures on the spot; escalate and swap when they cannot be fixed
- Maintain accurate device, accessory, and inventory records for dispatch and return

Own the data

- Run data collection end to end - capture, offload, verification, backup, and upload
- Check every session before it leaves the site: correct framing, complete recordings, no corrupt or missing files, correct metadata
- Maintain session logs mapping every file to task, worker, device, location, and timestamp

Follow and improve SOPs

- Execute deployment SOPs exactly - setup checklists, consent and safety protocols, capture standards, upload procedures
- Enforce compliance across the whole site team, not just yourself
- Document what breaks in the field and turn it into better SOPs, checklists, and training material
- Help train new associates and team leads as we scale to more sites and cities

## WHO WE ARE LOOKING FOR

- 1–4 years of experience in field operations (in companies like Swiggy, Zomato, Snabbit, Urban Company, Blinkit etc), data collection, production, QC, or a similar hands-on execution role. Someone who has managed the cluster or area and lead the team.
- Genuinely detail-oriented - you notice a mislabelled folder, a wrong angle, or a missing file before anyone else does
- Quite comfortable with travel as it can be hectic like - 1st week in Assam then next to Bihar, and 3rd can be in Chennai.
- Comfortable with structure: checklists, naming conventions, logs, spreadsheets, and daily reporting
- Practically minded with hardware - you can set up, debug, and maintain equipment without needing an engineer
- Able to lead and direct a group of workers with respect and clarity, including people from very different backgrounds
- Calm and decisive when a device dies, a worker doesn't show up, or a site changes plans mid-day
- Willing to travel and be on-site full time, including in factories, warehouses, kitchens, workshops, and other working environments
- High agency and high urgency - you take full ownership of your site's output

Experience in field data collection, data operations or ground operations at companies like Blinkit, Zepto, Swiggy, Urban Company, Delhivery, Amazon, or Flipkart is a strong advantage.

This is not a desk role. You will spend your days on site, with the devices, the workers, and the data.

## About Human Archive

## Core Business
- **Primary industry**: Data infrastructure for robotics and embodied artificial intelligence
- **Target customers**: Frontier AI labs, robotics companies, and academic researchers (B2B)
- **Mission**: To build the “Common Crawl for human sensorimotor intelligence” – a massive, aligned multimodal dataset that captures how humans interact with the physical world, enabling robots to automate manual labor and advancing understanding of human cognition.

## Products & Services
- **HA-Multi Dataset**: Fully aligned multimodal dataset including RGB-D (stereo depth via IR dot projection), tactile gloves, body IMUs, wrist cameras, and audio. Provides structured outputs such as 3D MANO hand reconstructions, 2D tactile force maps, depth maps per timestamp, and human pose reconstructions.
- **HA-Ego Dataset**: Monocular RGB vision dataset with wrist cameras, annotated with environment/scene descriptions, task labels, hand tracking, object segmentation, SLAM, and 3D pose reconstruction.
- **Custom Hardware Rigs**: Proprietary headset-mounted cameras, tactile gloves, full-body motion capture suits, and wrist cameras designed for synchronized data capture across multiple modalities.
- **Data Collection & Annotation Services**: End-to-end pipeline including QA, anonymization (face blurring), and annotation, delivered as structured datasets to customers.
- **Model Fine‑Tuning & Evaluation**: Internal capability to fine‑tune AI models on collected data and test them on robots to validate dataset quality.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (seed‑stage private company)
- **Key Metric**: Total funding raised – $8.2 million (seed round, announced May 2026)
- **Notable Investors/Partners**: Wing Venture Capital, NVP Capital, Y Combinator, and angels from OpenAI, Nvidia, Google, Mercor, AfterQuery, BAIR, SAIL, Brad Boa, and Meta. [techcrunch.com](https://techcrunch.com/2026/05/26/human-archive-taps-into-indias-services-startups-to-collect-data-for-physical-ai/)
- **Growth Signals**:
  - 1,000+ active headsets deployed across multiple locations (homes, hotels, restaurants, etc.)
  - Capacity to collect up to 8,000 hours of data per day
  - Signed national‑level partnerships to scale contributor network to 50,000+ people
  - Expanding operations from India into Southeast Asia and the United States
  - Already shipped datasets to frontier research teams

## Competitive Advantages
- **First‑mover in synchronized multimodal data at scale**: No other company has been able to simultaneously capture headset RGB‑D, force feedback, full‑body motion capture, and wrist camera data in a time‑aligned manner across thousands of real‑world environments.
- **Custom hardware**: Over seven proprietary hardware products (rigs, caps, tactile gloves, suits) designed specifically for high‑quality, scalable data collection.
- **On‑the‑ground operations in India**: Low‑cost, high‑volume data collection through partnerships with gig‑economy service providers, allowing rapid scaling.
- **Strong founding team**: Researchers from Stanford and Berkeley with deep backgrounds in robotics, hardware, and operations.

## Strategic Focus
- **Scaling data collection**: Expanding the contributor network to 50,000+ people and entering new geographies (Southeast Asia, U.S.).
- **Building the “Common Crawl for human sensorimotor intelligence”**: Creating the largest annotated multimodal dataset of human physical interaction.
- **Vertical integration**: Developing fine‑tuning and model evaluation services to demonstrate dataset quality and capture more value.
- **Partnerships with service companies**: Offering discounted cleaning, cooking, or other services in exchange for data collection consent (early pilot stage).

## Why Work Here
- **Mission‑driven**: Opportunity to work on foundational infrastructure for automating manual labor and advancing embodied AI – a historic inflection point.
- **Early‑stage impact**: Join a Y Combinator‑backed startup just months old, with direct influence on product, data pipeline, and research direction.
- **Work environment**: Hybrid/remote options available; offices in San Francisco (in‑office for some roles, remote for others). [builtin.com](https://builtin.com/company/human-archive)
- **Team culture**: Small, tight‑knit team (18 employees as of mid‑2026) of engineers and operators who “dropped out of Stanford and Berkeley” to pursue this vision.
- **Cutting‑edge tech**: Work with custom hardware, multimodal sensor fusion, large‑scale data pipelines, and state‑of‑the‑art robotics models.
- **Open roles**: Engineering (Research, ML, Infrastructure, Firmware, Embedded, Hardware Test) and Operations (Head of Operations). [ycombinator.com](https://www.ycombinator.com/companies/human-archive/jobs)

## Sources
1. [humanarchive.ai](https://www.humanarchive.ai/) – Company website
2. [builtin.com](https://builtin.com/company/human-archive) – Company profile, headcount, office locations, job listings
3. [ycombinator.com](https://www.ycombinator.com/companies/human-archive) – Y Combinator company page, founding details, funding, jobs
4. [techcrunch.com](https://techcrunch.com/2026/05/26/human-archive-taps-into-indias-services-startups-to-collect-data-for-physical-ai/) – TechCrunch article on $8.2M seed round, business model, and operations

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- [Head of Talent Acquisition](https://feeny.ai/job/head-of-talent-acquisition-human-archive-india-d010qcxhmh8s) — India
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- [Founder's Office Intern - Partnerships](https://feeny.ai/job/founder-s-office-intern-partnerships-human-archive-india-6fzh5878617c) — India
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