Founder's Office Intern - Partnerships at Human Archive (India)

Role details

Employment

Full-Time

Job description

We’re looking for 1–2 Founder’s Office Interns to work directly with me on building Human Archive’s campus partnership network across India.

The goal is simple: build relationships with the most ambitious, hands-on student organizations in the country and turn them into a long-term network for data collection, sponsorships, and hiring.

We’re especially interested in people who are currently in their 3rd or 4th year of university and have already built or led something meaningful on campus.

You might have:

Led a major college fest, event, or student organization
Run a Formula Student / Formula Electric / robotics / aerospace team
Worked on biotech experiments, hardware projects, fabrication, carpentry, woodworking, civil engineering, bridge-building, or other hands-on engineering projects
Built a strong community of unusually ambitious students
Been the person who could actually make things happen inside your university

WHAT YOU’LL DO

You’ll work directly with the founders to build a pan-India network of high-quality student organizations.

That includes:

Identifying the strongest student organizations across India's top universities
Reaching out to and building relationships with their leadership teams
Creating partnerships and sponsorship programs with these organizations
Figuring out which campuses and communities are best suited for different Human Archive data-collection projects
Building repeatable systems for launching programs across dozens of campuses
Using this network as a pipeline for finding exceptional interns, operators, engineers, and future full-time hires
Traveling to campuses and events when necessary

This is not a traditional campus ambassador program.

We want to build deep relationships with organizations where students are actually building things, running large operations, organizing hundreds of people, or executing technically difficult projects.

YOU’D BE A GOOD FIT IF

You’re extremely high-agency and don’t need to be told how to get something done
You have strong campus networks or know how to build them quickly
You’re comfortable cold reaching out to people and turning conversations into partnerships
You’ve led teams, organizations, events, or technically ambitious projects yourself
You understand how student communities actually work
You’re persuasive, organized, and extremely fast-moving
You want exposure to how a fast-growing startup builds operations and talent networks from scratch

You’ll work closely with the founders and have significant ownership from day one.

Location: Bangalore / Remote with travel across India Type: Internship

Why work at Human Archive

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
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

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
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).

Sources

humanarchive.ai – Company website
builtin.com – Company profile, headcount, office locations, job listings
ycombinator.com – Y Combinator company page, founding details, funding, jobs
techcrunch.com – TechCrunch article on $8.2M seed round, business model, and operations

Job description

WHAT YOU’LL DO

YOU’D BE A GOOD FIT IF

Why work at Human Archive

Application questions