Skip to content
Tech News
← Back to articles

Besimple AI (YC P25) Is Hiring

read original more articles
Why This Matters

Besimple AI is developing advanced infrastructure for voice AI that understands diverse languages and accents, collaborating with frontier AI labs to push the boundaries of audio models. The company's focus on high-ownership roles and innovative platform development highlights its commitment to improving AI audio data quality and delivery. This effort is crucial for creating more inclusive and accurate voice AI systems that benefit both industry and consumers.

Key Takeaways

About Besimple 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.

About the role

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.

What you’ll do

... continue reading