Research Engineer - Data Infrastructure
Join ElevenLabs as a Research Engineer to build data infrastructure for cutting-edge AI models in a fully remote environment.
Posted by employer 2 weeks ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Building large-scale data pipelines
- Training models for data processing pipelines
- Designing data curation strategies
- Creating tooling and infrastructure for researchers
Must have
- Experience building data-intensive systems
- Strong engineering skills in distributed data processing
Nice to have
- Experience building or operating web crawlers
AI in the day-to-day
We use AI to move faster with higher-quality results across the whole company.
Requirements
- Education
- No formal education required
Not disclosed in this posting: compensation, seniority, years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Research Engineer focuses on developing and maintaining the data infrastructure essential for training ElevenLabs' advanced AI models. Key responsibilities include building large-scale data pipelines, implementing data curation strategies, and creating tools for efficient data exploration. This position is well-suited for engineers with a strong background in data-intensive systems and distributed processing, particularly those who can demonstrate their problem-solving skills through past projects. ElevenLabs fosters a collaborative environment that emphasizes impact over titles, appealing to those who thrive in high-velocity settings.
Joblaze insights
- Listed yesterday — first seen on Joblaze November 7, 2026. Last confirmed on ElevenLabs's careers page November 7, 2026.
- This exact title is also open at 1 other location at ElevenLabs: United Kingdom.
Quick facts
- Is the Research Engineer - Data Infrastructure role remote?
- Yes — ElevenLabs lists this as a fully remote position.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Kubernetes.
From the original posting
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.
How we work
High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
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.
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
Standard company text repeated across ElevenLabs's postings is omitted here.
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