---
title: 'Head of Talent Acquisition at Human Archive'
canonical: 'https://feeny.ai/job/head-of-talent-acquisition-human-archive-india-d010qcxhmh8s'
type: 'job'
last_seen: '2026-09-09'
---

# Head of Talent Acquisition at Human Archive

- **Company:** Human Archive
- **Location:** India
- **Employment:** full-time
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/humanarchive/4f240685-57f2-4b60-b988-d54d043855ec

## Job description

We’re looking for a Head of Talent Acquisition to own hiring and core people operations at Human Archive.

This is not a role for someone who wants to build slow recruiting systems. We need someone who can move extremely fast, operate under pressure, and hire at massive scale across a wide range of roles.

You might be asked to hire 10 people in the next two weeks, then immediately build the pipeline for the next 50. We don't have anyone on the HR/People team right now so you will have to own the stack end-to-end

2+ YOE

## WHAT YOU’LL OWN

- End-to-end hiring across field operations, field sales, managers, data annotators, and other high-volume operational roles
- Building sourcing pipelines capable of producing hundreds of qualified candidates
- Screening, interviewing, coordinating, closing, and getting candidates to join quickly
- Working directly with founders to understand rapidly changing headcount needs
- Designing recruiting processes that optimize for speed without compromising quality
- Managing job boards, agencies, referrals, campus pipelines, and other sourcing channels
- Owning candidate tracking, recruiting metrics, and hiring forecasts
- Managing offer rollout, documentation, onboarding, and employee joining
- Coordinating payroll and ensuring employees are paid accurately and on time
- Owning day-to-day people operations including leave policies, attendance, employee records, and basic HR administration
- Building the systems and eventually the team required to support hiring at significantly larger scale

## WHAT WE’RE LOOKING FOR

- You are exceptionally fast and execution-oriented
- You are comfortable with aggressive hiring targets and short timelines
- You have experience with high-volume recruiting, ideally for operations, sales, support, annotation, logistics, or similar workforces
- You can simultaneously recruit for frontline roles and more senior managerial positions
- You are highly organized and can keep track of dozens of candidates and employees without things falling through the cracks
- You don’t wait for perfect processes—you build what is needed and improve it while operating
- You are comfortable owning recruiting as well as the operational work that happens after someone accepts an offer
- You care about numbers: pipeline size, conversion rates, time-to-hire, joining rates, attrition, and hiring velocity

## WHAT SUCCESS LOOKS LIKE

When we say we need 10 people within two weeks, your response is figuring out how to make it happen.

You build a recruiting engine that allows Human Archive to scale its workforce rapidly while making sure the people who join are onboarded, paid, and supported properly.

This is a high-ownership, high-intensity role for someone who wants to build the talent function from the ground up.

## 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

## Other roles at Human Archive

- [Operations Manager (YC-Backed, High-Growth Startup)](https://feeny.ai/job/operations-manager-yc-backed-high-growth-startup-human-archive-india-9z2awb5n92ft) — India
- [Chief of Staff](https://feeny.ai/job/chief-of-staff-human-archive-india-06rpdhx25fvz) — India
- [Operations Manager (on-site)](https://feeny.ai/job/operations-manager-on-site-human-archive-india-89the0bwz925) — India
- [Founder's Office Intern - Partnerships](https://feeny.ai/job/founder-s-office-intern-partnerships-human-archive-india-6fzh5878617c) — India
- [Deployment Associate - Field Operations](https://feeny.ai/job/deployment-associate-field-operations-human-archive-india-k919yyjc5q57) — India
- [Operations Manager](https://feeny.ai/job/operations-manager-human-archive-india-dhnzsq0kkv6g) — India
- [Strategy & Project Lead (Data Operations)](https://feeny.ai/job/strategy-project-lead-data-operations-human-archive-india-4wewntj07j0x) — India
- [Founder's Office](https://feeny.ai/job/founder-s-office-human-archive-india-s0hq6npjsmme) — India
- [Dark Store & Inventory Operations Lead](https://feeny.ai/job/dark-store-inventory-operations-lead-human-archive-india-bygzve0g2txa) — India
- [Camera Systems and Calibration Engineer](https://feeny.ai/job/camera-systems-and-calibration-engineer-human-archive-china-z17rvkbmaykw) — China