AI Safety Engineer (Data)

About the role

We are looking for a Data Scientist to take ownership of the datasets and evaluation workflows that underpin our AI Safety work. You will 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, machine learning, AI safety, and policy.

Responsibilities

• 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.

Required skills

• Data Science
• Machine Learning
• Python
• SQL
• Data cleaning
• Data labelling
• Quality control

Nice to have

• AI safety
• Trust & safety
• Content moderation
• Fraud detection
• Abuse detection
• Dataset versioning
• ML pipeline tooling

Qualifications

• Experience as a Data Scientist or similar working with real-world datasets and ML models

Benefits

• Annual discretionary professional development stipend
• Annual discretionary social travel stipend
• Annual company offsite
• Monthly co-working stipend

About the Company

ElevenLabs is an AI research and product company transforming how we interact with technology. We have expanded from voice into three main platforms: ElevenAgents, ElevenCreative, and ElevenAPI.