ElevenLabs Logo

ElevenLabs

AI Safety Operations

Sorry, this job was removed Sorry, this job was removed at 06:16 p.m. (PST) on Monday, Apr 07, 2025
Be an Early Applicant
Remote
2 Locations
Remote
2 Locations

This role is remote, so it can be executed globally. If you prefer, you can work from our offices in New York, London and Warsaw.

About ElevenLabs 

At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products. 

We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories). We closed our Series-C funding at a 3.3B valuation at the beginning of this year and are backed by the leading names in tech and AI (a16z, ICONIQ, NEA, Sequoia, NFDG, Salesforce, and many others).

We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI. This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you! 

Who we are

A global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day. We work with high autonomy and accountability where the best idea wins at any time and from anyone. 

About the role

This role is within the AI Safety organization but will interface with all other orgs internally, and potentially externally. Specifically you will:

  • Build a safety ops machine:  Design and implement protocols to handle various safety operational workflows including moderation, appeals, and safety-related user requests.

  • Mature and oversee the safety operations: Mentor, and lead a group of safety ops specialists who review & assess a high volume of flagged content, handle appeals, investigate and respond to incidents, and support our machine learning engineering team.

  • Manage customer requests and safety incidents. Oversee our response to internal and external safety requests. Ensure quality and consistency of our response.

  • Support development of automated safety systems. Work with engineering, policy and investigations team members to support building automated systems, including data labeling for moderation classifiers & detection models.

  • Craft clear guidelines: Translate our prohibited use policies into operational guidelines for human reviewers and automated systems.

  • Automation-first mindset: Build processes with an eye to automation; implement simple automations independently  

  • Stay ahead of the curve. Stay abreast of developments in trust and safety ,and AI safety, and introduce ideas for automation and efficiency to the team. Survey the ecosystem for tooling, processes and standards that can improve safety outcomes, and support selection, integration and management of external tools.

Who you are

We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: 

  • Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.  

  • Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. 

  • Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. 

  • Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.

  • Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.

What you bring

  • Background in safety operations, content moderation, customer support, and/or product management 

  • Experience designing, and implementing operational processes & protocols for human or automated implementation. Experience doing this in trust and safety, AI data labeling, customer support or  security teams strongly preferred. 

  • Strong track record working with data. You have experience crafting SQL queries and tables and working with cloud data warehouses (e.g. Snowflake, Big Query). You can manipulate, understand and draw insights from structured or unstructured data. You lean on insights, metrics, and user behavior patterns to inform and refine your moderation strategies, policies, and tools. 

  • Track record managing operational teams. You have successfully developed, mentored and managed an operational team, or can demonstrate strong potential in doing so. 

  • Operational rigor: You thrive under pressure, staying organized and decisive even when handling emergencies or sudden surges in risky content. You build foundations that can handle high volumes with a bias towards automations/scalability.

  • Cross-functional fluidity: You’re skilled at collaborating with engineers, product teams, and other stakeholders to ensure safety measures integrate seamlessly with ongoing innovations. You do this by pointing towards a common goal, even when the safety requirements might be perceived to slow down.

  • Thick skin: You maintain composure and objectivity while confronting disturbing or complex material, ensuring it doesn’t impede your (or your teams’) judgment or well-being.

What we offer

  • High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

  • A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) 

  • Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.

  • Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.

#LI-remote

Similar Jobs

Yesterday
Remote
London, Greater London, England, GBR
Mid level
Mid level
Big Data • Cloud • Healthtech • Software • Big Data Analytics
The Full-Stack Product Developer will design and build features for a data stewardship platform, focusing on data quality and lifecycle improvements.
Top Skills: NoSQLPythonReactSQL
Yesterday
Easy Apply
Remote
London, England, GBR
Easy Apply
Senior level
Senior level
Cloud • eCommerce • Logistics • Software
Lead and grow a sales team in the UK, driving new business revenue and optimizing sales strategies while managing a personal pipeline.
Top Skills: GongLinkedin Sales NavigatorSalesforceSalesloft
Yesterday
Easy Apply
Remote
Hybrid
UK
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Senior Deal Desk Analyst will collaborate with sales and finance, optimize deal structures, evaluate deal economics, and improve processes for effective revenue growth.
Top Skills: Crm ToolsGoogle SheetsExcelSalesforce

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account