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Human Archive is building data infrastructure for physical AI, capturing how people perform real-world tasks. It designs its own hardware, deploys cameras and sensors in working environments and trains models on the resulting footage. The data is aimed at robotics teams that lack examples of skilled manual work.

About Human Archive

Human Archive is a research lab focused on modeling human embodied intelligence.

Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.

Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.

The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.

We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.

About the role

We collect data across 20+ different categories, such as food and beverage, hospitality, industrial, construction, creatives, engineering etc.

I need people who are:

1) Type A when it comes to communication, organisation, and planning

2) Understanding metrics and data well. Keeping track of diversity distribution for different categories and constantly hitting short-term and long-term targets is not possible without understanding analytics. So be goated at KPIs, analytics, etc.

3) Does not believe in slow sales cycles or "industry standards"; what we do has never been done in the history of humanity, so if you have any preconceived notions about how partnerships work, you need to get rid of them

4) Has a very particular niche such as enterprise/corporate sales or MSMEs or college networks or legacy businesses

5) Be shameless, have no ego but know how to boost someone else's ego

6) Not hesitant about leveraging personal network

We pay extremely well for data collection. It is money that is hard to turn down, so at the end of the day it comes down to if you can build distribution through channel partners and scale the hell out of converting people. But most importantly, be fine with constantly hopping on calls, repeating the same pitch 100 different times.

Partnerships team will be converting 100+ UNIQUE businesses a month across all categories. So speed and hunger and clarity are non-negotiable.

20-40 LPA + bonuses

liberty to build ur team (get interns, do whatever it takes)

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