# Besimple AI (YC P25) Is Hiring > Source: > Published: 2026-06-25 17:00:00+00:00 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 looking for a **Strategic Projects Lead — Audio Data** to own high-priority audio data projects end to end through our platform. This is an extremely high-ownership role at the intersection of **strategic operations, audio data, AI data delivery, product, and customer execution**. You will own complex audio collection and annotation projects from customer requirement to final delivery. You will translate ambiguous customer needs into executable workflows inside our platform, run pilots, manage contributors and reviewers, track quality and throughput, identify bottlenecks, and ensure the final dataset meets customer expectations. Because our platform is still evolving, this role is not just about operating existing workflows. You will also identify gaps in the platform, define product requirements, and work with engineering to build or improve features needed to deliver projects successfully. This is not a generic project management role. We are looking for someone who has personally driven messy, cross-functional projects from zero to completion, ideally in AI data, data labeling, annotation, localization, or crowdsourced operations. You will be successful if Besimple can repeatedly deliver audio datasets that are: Your core metrics may include: This is a high-impact role at an early-stage AI company. You will not just manage projects — you will help build the operating system for how high-quality audio data gets produced at scale. You will work directly with the founders, own customer-critical projects, shape our internal platform, and define the playbooks we use to deliver audio data for frontier voice AI models. 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.