数据科学家 - AI 安全
Data Scientist - AI Safety
关于ElevenLabs
ElevenLabs是一家人工智能研究和产品公司，正在改变我们与技术互动的方式。
我们于2023年1月成立，推出了首个类人AI语音模型。如今，我们为数百万用户和数千家 businesses 服务，包括快速发展的初创公司以及德意志电信和Meta等大型企业。我们的投资者包括世界上最著名的投资机构，如Andreessen Horowitz、ICONIQ Growth和Sequoia。我们已筹集7.81亿美元资金，最新估值为110亿美元——始终与11有关。
我们已从语音扩展到三个主要平台：
- ElevenAgents 使企业能够提供无缝且智能的客户体验，具备集成、测试、监控和可靠性，以大规模部署语音和聊天代理。
- ElevenCreative 让创作者和营销人员能够生成和编辑70多种语言的语音、音乐、图像和视频。
- ElevenAPI 为开发者提供对我们领先的AI音频基础模型的访问权限。
我们所做的一切都是由团队的创造力和奉献精神带来的——建设者们正在做他们一生中最好的工作。我们是研究人员、工程师和运营人员。IOI奖牌获得者和前创始人。如果你想要努力工作并创造持久的积极影响，我们想听听你的声音。
我们如何工作
- 高速度：快速实验、精简自主团队和最小的官僚主义。
- 以影响力而非职位名称为准：我们没有职位名称。而是看你能产生什么影响。没有任何任务高于或低于你。
- 以AI为先：我们使用AI以更高的质量更快地完成工作。我们在整个公司都这样做——从工程到增长再到运营。
- 无处不在的卓越：我们所做的每一件事都应该与我们的AI模型一样高质量。
- 全球化团队：我们优先考虑你的才能，而不是你的地点。
我们提供的福利
- 创新文化：你将参与一个定义AI发展轨迹的历史性机会，身边是一群不断突破可能性边界的团队。
- 成长路径：加入ElevenLabs意味着加入一个充满活力的团队，有无数机会推动影响——超越你的直接角色和职责。
- 学习与发展：ElevenLabs主动通过年度自选津贴支持职业发展。
- 社交旅行：我们还提供年度自选津贴，让你每年以自己喜欢的方式与同事见面。
- 年度公司集训：每年，我们都会在新的地点将整个团队聚集在一起。
查看英文原文
ABOUT ELEVENLABS
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 $11B - 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.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
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.
In this role, you will
- 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.
Who you are
- Experience as a Data Scientist, or similar, working with real-world datasets and ML models.
- Strong grasp of what makes a good dataset: collection, cleaning, sampling, labelling, quality control, evaluation.
- Comfortable with Python and SQL for analysis and practical data workflows.
- Strong critical thinking and judgement - comfortable with ambiguity and nuance, and able to turn complex guidelines into consistent, scalable decisions.
- Autonomous and a clear communicator, able to work across disciplines (policy, engineering, research) in a fast-moving, still-forming environment.
Bonus points
- Experience in AI safety, trust & safety, content moderation, or fraud/abuse detection.
- Experience building datasets or evaluation frameworks, or with adversarial/safety-focused ML.
- Experience managing human-in-the-loop labelling processes, dataset versioning, or ML pipeline tooling.
- Experience operationalising guidelines with policy or legal teams.
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.