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We'd love for you to join Basis.
AI is becoming one of the most consequential technologies in human history. The systems we train today will shape how billions of people work, learn, & live every day. The way we train them determines how useful, trustworthy, & safe they ultimately become.
Today's AI systems remain remarkably sample-inefficient, i.e. they need millions of examples in order to learn things that humans can learn from just a handful of interactions. The internet gave AI a great starting point: a huge corpus of text (Wikipedia, Reddit, ...), images (Instagram, Google, ...), videos/audio (YouTube, Spotify, ...), & code (open-source GitHub, StackOverflow, ...). But the internet is inherently incomplete, highly edited, unevenly distributed, and not representative of the wider human experience.
That gap becomes more glaring when we move beyond LLMs into voice, video, robotics, & the physical world. There's a reason why current audio models sound 'podcast-y' & video models have a 'short-form video' feel. Instead of being trained on real emotions, thoughts, & behaviors they were trained on highly edited and selective perceptions of humans.
The consequences are far-reaching. Models lack understanding of human interactions, emotions, & real-world behavior (e.g. ChatGPT voice can't understand the difference between an excited, sarcastic, depressed, or angry "Oh, yeah!"). Additionally, communities, languages, & behaviors that are underrepresented online will be missing out on contributing to how AI thinks, speaks, & behaves.
To solve that, AI labs will need access to vast amounts of human feedback, behavior, culture, speech, & judgement. This is what Basis builds. We're already working with leading labs and have one of the largest contributor networks in the industry.
Our mission works two-ways:

1. We give frontier labs access to the breadth of human intelligence and experience, helping them build models that are more capable, grounded, and useful to the people they will serve.
2. We give people everywhere a meaningful role in shaping those systems and reward them for the value they create.

Why Basis will win / what we do:
This sector is bound to grow into a gigantic industry. As models advance, their insatiable appetite for both compute & data will grow. Yet almost all companies serving this market are insanely short-sighted: they're talent recruitment agencies masquerading as tech startups: a lab needs data, the vendor recruits costly contractors, & the workforce gets reset when the project ends. They make money in the short-term but they have nothing proprietary keeping them afloat once the sector matures and becomes more efficient.
Basis is building the opposite. We build consumer products people genuinely want to use, reward them for participating, & own the infra that transforms user behavior into high-quality training signals for labs. What we're doing is way harder. We have to align incentives across users and labs, solve long-term user acquisition and retention, automate marketing/payouts/QA, train SOTA models and evals in-house, and operate one-of-a-kind quality systems across gigantic volumes.
As a result we have a continuously running, self-improving pipeline that is deeply automated, highly optimized, & instantly and infinitely scalable. Every project makes our products more engaging, our models more capable, our network larger, our quality systems stronger, & our understanding of lab needs more precise. Each cycle makes us faster & better. While others sell one project at a time, we're gradually building up an unbeatable behemoth of a system.
Our goal is to build the world's largest consumer products for teaching AI about humanity and the real world: a connection through which frontier models can learn from millions and soon hundreds of millions of people every day.
Very few companies are attempting to build this system and even fewer have the foresight to actually do it. We're confident Basis will become the defining company in this category.
Why you shouldn't join:

• Ambiguity: No matter your role, we will spend considerable time teaching you everything we know about this field, our product, our needs, & our systems. Once we've shared all the context, you're expected to make independent decisions and lead the way through the ambiguity that comes with working on the cutting edge (you will do things that no one has ever built before). You will become the world's leading expert on whatever you work on here.
• Fast Pace: We don't expect you to work outside of our work hours (weekdays 10-8), but we do expect you to move fast, parallelize relentlessly, & get client projects across the finish line. We are competing in what is turning out to be one of the largest emerging markets and we plan to win it.
• Small Team: We're a small team (4 full-time, a couple part-time) & hiring 2-3 in the next few weeks. Everyone has a lot of ownership & our general structure is still forming. If you prefer the structure of a larger company don't join us yet!
• Evolving role: This is a startup & we're planning to scale aggressively - it's insane how much can change within just one year. We expect that everyone's role will evolve quickly and quite aggressively; you are expected to grow with the company and will need to constantly learn new things - every day brings new challenges & no two days are the same.

Why you should join:

• You'll work on the cutting edge of frontier AI working directly with major labs. You'll build systems/train models/do things no one has ever done before.
• You'll work with exceptional, ambitious, & fast-moving people while having full ownership & creative control over your work.
• You'll grow & learn a lot. Your career will accelerate with the company's. Basis is well-funded & has raised from top-tier investors and we're getting inbound for & are actively gearing up for a larger Series A soon (now's the time to join!).

For more on this role, please apply.