ElevenLabs

Benefits:

• 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

Experience Requirements:

• Strong experience in Python, including asynchronous Python; proven track record of building production Python applications.

• Strong background in backend development including setting up and maintaining production backend services and data pipelines.

• Familiarity with common software and system design patterns and infrastructure including APIs, cloud infrastructure tools, storage solutions, data structures etc.

• Knowledge about test design and security fundamentals.

• Strong candidates will also have a mix of experience working with: Backend safety infrastructure & toolingTrust and safety, integrity or AI safety teamsSQL and data analysis tools;ReactTechnical investigators and machine learning engineers to integrate ML/AI models to detect, monitor and enforce on abusive content

Other Requirements:

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

• Highly motivated and driven individual with a strong work ethic.

• 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

Responsibilities:

• Architect, build, and maintain our anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior.

• Develop ubiquitous moderation coverage across our deployments

• Expand our internal safety tooling and infrastructure

• Collaborate with broader engineering teams to design and build safety mitigations across our product suite

• Collaborate with our data team to develop and maintain actionable safety metrics

Benefits:

• 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

Experience Requirements:

• Technical expertise in managing compliance with SOC2 and HIPAA standards, with hands-on experience using compliance management tools (e.g., Drata, Vanta).

• Proficiency in automation and scripting (Python, Bash) to manage compliance workflows, vendor questionnaires, and due diligence tasks at scale.

• Solid understanding of risk assessment frameworks such as CIS and NIST, with experience in documenting and reporting risks.

• Proven ability to maintain and acquire certifications (SOC2, HIPAA, ISO27001) while managing audit readiness and documentation.

• Experience collaborating with cross-functional teams (sales, engineering, legal) to effectively communicate compliance requirements and ensure smooth operations.Bonus: Experience with public cloud compliance (AWS, GCP, Azure) and automating compliance in cloud environments.Bonus: Familiarity with integrating compliance tools into CI/CD pipelines to automate monitoring and reporting

Other Requirements:

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

• Highly motivated and driven individual with a strong work ethic.

• 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

Responsibilities:

• Automate Vendor Due Diligence and Security Questionnaires: Streamline vendor security assessments and client security questionnaires, minimizing manual tasks while ensuring accuracy.

• Certification Management: Ensure all necessary certifications (SOC2, HIPAA, ISO27001) are maintained and acquired, collaborating with teams to prepare for audits.

• Compliance Automation: Enhance compliance as code tooling to automate monitoring, reporting, and reduce friction for other teams to remain compliant.

• Sales Support: Assist the sales team by responding to client security requests and managing compliance-related queries.

• Risk Assessments: Conduct risk assessments based on CIS or NIST frameworks, document findings, and help teams achieve compliance efficiently

Benefits:

• 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

Other Requirements:

• Strong attention to detail – data is all about the details; we expect you to craft clear project guidelines together with Research and build processes to ensure our data meets them

• People skills – you will interact with Researchers, external service providers, and a large number of data labellers and labelling managers; you should feel comfortable providing feedback and keeping large teams moving along to meet deadlines

• Bonus points for: Prior experience running large-scale data labelling projects for a FAANG/similar company, AI research lab, or data labelling platformPython skills

Responsibilities:

• End-to-end management of new data labelling projects, including: Working directly with Research to translate new ideas into clear labelling guidelines and dataset structuresCoordinating internal and external data labelling resources to deliver projects on timeImplementing QC and review processes to ensure our datasets are high-quality

• Scaling our in-house data labelling workforce and operations

• Using analytics tooling and your problem-solving skills to constantly improve how we operate