Analyst Contractor at Cartesia
Listed on 2026-07-27
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IT/Tech
AI Business & Operations, AI Evaluation, AI Engineer (Applied/Software)
Location: Greater London
Job Title
Analyst Contractor
Salary£35/hr
Company DescriptionCartesia is a frontier AI research lab founded by the Stanford AI Lab PhDs who invented State Space Models (SSMs). Backed by Index Ventures, Lightspeed, and NVIDIA, Cartesia is building the next generation of real-time, interactive intelligence capable of processing massive streams of audio, video, and text efficiently.
Job DescriptionJoining the Product Research and Operations (PRO) team, you will manage voice library operations and production workflows. You will become a key expert in audio quality annotation and support critical research objectives. This hands-on role involves working closely with synthetic voice creation to ensure Cartesia's models meet the highest possible standards for quality and performance.
LocationLondon, UK
Why this role is remarkable- Work at a frontier AI lab founded by the inventors of State Space Models (SSMs), a revolutionary alternative to Transformers for efficient, large-scale foundation models.
- Join a highly-backed team supported by top-tier investors like Index Ventures, Lightspeed, and NVIDIA, contributing to products like Sonic that power millions of real-time conversations.
- Enjoy a high-impact, operationally intense role where your work directly shapes the quality and development of cutting-edge synthetic voice and speech-to-text technologies.
- Manage end-to-end voice library operations, including posting job ads for voice actors, managing professional engagements, and maintaining strict quality timelines.
- Execute complex voice production workflows, specifically focusing on the creation and rigorous quality evaluation of synthetic voices through specialized annotation.
- Support core research and analysis objectives within the voice domain, tackling ad-hoc operational tasks that require high flexibility and reliability.
- Strong project management instincts with the ability to juggle multiple work streams and high-throughput operational tasks without letting details slip through the cracks.
- Technical fluency including a solid understanding of how APIs work, practical experience with LLMs, and basic proficiency in Python or SQL.
- A research-driven and curious mindset, comfortable digging into data and using AI coding assistants like Cursor or Claude to rapidly execute high-quality results.
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