ElevenLabs Logo

ElevenLabs

Research Engineer - Data Infrastructure

Posted 17 Days Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Build large-scale data pipelines and infrastructure for frontier AI model training. Develop data-processing models such as classifiers, quality filters, and labeling systems; design deduplication, quality scoring, labeling, and augmentation strategies; and create reliable tooling for researchers to explore and train on massive datasets. The role also evaluates how data quality and composition affect model outcomes, with web crawler experience as a bonus.
The summary above was generated by AI
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 are looking for a Research Engineer to join the research team at ElevenLabs, focused on the data infrastructure that powers our frontier AI models. The quality of our models is bounded by the quality and scale of the data behind them, and you will own the systems that make world-class data possible. You will thrive in this role if you enjoy:

 
  • Building large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models.

  • Training models used in our data processing pipelines, such as classifiers, quality filters, and labeling models.

  • Designing data curation strategies such as deduplication, quality scoring, labeling, and augmentation that measurably improve model performance.

  • Creating tooling and infrastructure that lets researchers explore and train on massive datasets quickly and reliably.

 
Requirements

We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring:

 
  • Experience building data-intensive systems, ideally in support of machine learning training pipelines.

  • Strong engineering skills in distributed data processing at scale (e.g., Kubernetes, or custom pipelines over large datasets).

  • The capacity to autonomously evaluate how data quality, composition, and curation affect model outcomes, and to build the tooling to measure it.

 

Bonus: Experience building or operating web crawlers.

 
Location

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

 

#LI-Remote

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.

Similar Jobs

2 Days Ago
Remote
218K-218K Annually
Senior level
218K-218K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Manages investigator sites for clinical trials from initiation through close-out, ensuring patient safety, GCP compliance, protocol adherence, quality, timelines, and data integrity. Conducts onsite and remote monitoring, resolves site and data issues, oversees investigational products, supports recruitment and database release, manages safety reporting and CAPAs, and maintains study documentation. Partners with study teams and site personnel, provides training, supports audits, mentors CRAs, and contributes to process improvement initiatives.
2 Days Ago
Remote
130K-130K Annually
Senior level
130K-130K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Manages investigator sites throughout clinical trials, including initiation, monitoring, recruitment support, protocol compliance, patient safety, issue resolution, documentation, investigational product oversight, database release, and site close-out. Partners with study teams, investigators, vendors, drug safety personnel, and Site Care Partners. Supports audits, CAPA remediation, site training, process improvement, and mentoring of Clinical Research Associates while ensuring compliance with Good Clinical Practices, laws, study plans, and Pfizer standards.
2 Days Ago
Remote
101K-101K Annually
Entry level
101K-101K Annually
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Manages investigator sites for clinical trials from initiation through closeout. Responsibilities include site monitoring, investigator relationship management, protocol training, patient safety oversight, recruitment support, adverse event follow-up, investigational product accountability, documentation, data-query resolution, corrective and preventive actions, audit support, and compliance with Good Clinical Practices, applicable laws, study plans, and Pfizer standards.
Top Skills: Electronic Diary (Ediary)Good Clinical Practice (Gcp)Trial Master File (Tmf)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account