
Voice data for AI
Besimple AI is building the data and benchmark infrastructure for the next generation of voice AI. We help AI understand people from all languages and accents.
The founders are ex-Meta product and engineering leaders, from MIT and Brown University. We are a small, high-ownership team working directly with frontier AI labs to push state-of-the-art on audio models.
We are hiring a Growth Operations Lead, Contributor Supply to own the growth of qualified contributors on our platform.
Your mission is to increase the number of high-quality contributors who join our platform, pass qualification, complete approved work, and continue contributing over time. This is not a generic marketing role. You will own the full contributor growth funnel across acquisition, onboarding, activation, referral, and retention.
You will experiment across paid ads, UGC, influencer campaigns, community channels, referral programs, partnerships, and outbound sourcing. You will also work closely with operations and QA to make sure we are not just acquiring more contributors, but acquiring the right contributors.
The ideal candidate is a scrappy growth operator who combines analytical rigor, strong execution, marketplace intuition, and empathy for contributors.
You will be successful if you can answer and improve the following questions:
At Besimple AI, we’re making it radically easier for teams to build and ship reliable AI by fixing the hardest part of the stack: data. Good evaluation, training and safety data require domain experts, robust tooling and meticulous QA. AI teams and labs come to us to get high quality data so they can launch AI safely. We’re a YC X25 company based in Redwood City, CA, already powering evaluation and training pipelines for leading AI companies across customer support, search, and education. Join now to be close to real customer impact, not just demos.
High-quality, human-reviewed data is still the single biggest driver of model quality, but most teams are stuck with old tools and legacy processes that do not scale to modern, multimodal, agentic workflows. Besimple replaces that mess with instant custom UIs, tailored rubrics, and an end-to-end human-in-the-loop workflow that supports text, chat, audio, video, LLM traces, and more. We meet teams where they are—whether they need on-prem deployments and granular user management or a fast cloud setup—to turn evaluation into a continuous capability rather than a one-time project.
Founders previously built the annotation platform that supported Meta’s Llama models. We’ve seen how world-class annotation systems shape model quality and iteration speed; we’re bringing those lessons to every AI team that needs to ship with confidence. You’ll work directly with the founders and users, owning problems end-to-end—from an interface that unlocks a tough rubric, to a workflow that reduces disagreement, to a AI judge system that improves quality.
If you’re excited by systems that combine product design, human judgment, and applied AI—and you want to build the data and evaluation layer that keeps AI trustworthy—come build with us. See how fast teams can go from raw logs to a robust, human-in-the-loop eval pipeline—and how that changes the way they ship AI.