AI Safety Engineer (Data)

ElevenLabs is an AI research and product company transforming how we interact with technology.

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.

We have expanded from voice into three main platforms:

- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.

- ElevenAPI gives developers access to our leading AI audio foundational models.

Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

• Own safety datasets end-to-end: collection, cleaning, labelling, quality control, versioning, and readiness for training and evaluation.
• Translate safety policy into clear, consistent labelling and evaluation criteria, working closely with policy specialists.
• Design and manage labelling processes, including sourcing, onboarding, and overseeing external contributors to a high quality bar.
• Build evaluation workflows for models in production, using real-world data to track performance and surface issues.
• Develop lightweight Python/SQL pipelines and tooling to make data work faster and reproducible, partnering with ML engineers on what "training-ready" looks like.

Location

This role is based in London, where you'll work closely with our AI Safety and Policy teams.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

We're looking for a Data Scientist to take ownership of the datasets and evaluation workflows that underpin our AI Safety work. You'll turn real-world product data into reliable, well-structured datasets for training and evaluating models, and help build the processes and infrastructure to continuously assess how those models perform in production.

This is a hands-on role at the intersection of data science, ML, AI safety, and policy. You'll work closely with safety researchers, engineers, and policy specialists to translate complex safety requirements into practical data and evaluation systems - starting hands-on with collection, analysis, and labelling, then building the methodologies, contributor networks, and quality standards that let this work scale.