job
Research & Academia
On-site
Sponsorship Not Stated

Research Engineer - Data Infrastructure

Elevenlabs
United Kingdom
Verified OpportunityChecked by PathwayAI staff.

Role Summary

Join ElevenLabs as a Research Engineer to develop key data infrastructure for cutting-edge AI models in a dynamic and innovative environment.

About the Organisation

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:

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.

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:

  • 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.
  • 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.

Minimum 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:

Bonus: Experience building or operating web crawlers.

  • 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.

Working Conditions

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.

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  • 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.

Eligibility Criteria

The role is targeted at individuals with a background in research engineering, particularly in data infrastructure.

Exp. LevelNot specified
EducationNot specified

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Published On
August 29, 2026
Application Deadline
Ongoing / No specific deadline
Employment Type
Full Time • On-site
Source
Arbeitnow
Last verified: September 1, 2026
Degree Level
Master's
Visa Sponsorship
Sponsorship Information Not Stated
Africa Eligibility
International — African Eligibility Unclear
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