Research Engineer - Web Crawlers
Join ElevenLabs as a Research Engineer to build and operate large-scale web crawlers for AI model data sourcing.
Posted by employer 2 months ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Build and operate large-scale web crawlers
- Solve crawling problems like content extraction and deduplication
- Design targeted crawling pipelines
- Create tooling for researchers to explore crawled data
Must have
- Hands-on experience building web crawlers
- Strong engineering skills in distributed systems
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 managing large-scale web crawlers to gather high-quality data for AI model training. Key skills include experience with distributed systems and web scraping, particularly in environments that require handling vast amounts of data efficiently. This position is well-suited for engineers who excel at solving complex problems and can demonstrate their capabilities through past projects or contributions. ElevenLabs fosters a collaborative and innovative culture, emphasizing impact over titles.
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.
- Kubernetes appears in 13.8% of 189 comparable ai/ml roles in United Kingdom; distributed systems appears in 3.2% of 189 comparable ai/ml roles in United Kingdom.
Quick facts
- Is the Research Engineer - Web Crawlers role remote?
- Yes — ElevenLabs lists this as a fully remote position.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Kubernetes, distributed systems, web crawling.
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 large-scale web crawling for 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 crawling systems that source world-class data from the open web. You will thrive in this role if you enjoy:
Building and operating large-scale, distributed web crawlers that discover, fetch, and extract data across billions of pages reliably and efficiently.
Solving hard crawling problems such as content extraction from messy HTML, deduplication at web scale, freshness and recrawl strategies, and politeness and rate-limit handling.
Designing targeted crawling pipelines that find high-value data sources, including audio, video, and multilingual content, and turn them into clean training-ready datasets.
Creating tooling and infrastructure that lets researchers request, monitor, and explore newly crawled web data 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:
Hands-on experience building and scaling web crawlers or scraping systems, ideally in support of machine learning training data.
Strong engineering skills in distributed systems at scale (e.g., Kubernetes, queue-based architectures, or custom pipelines processing billions of documents).
The capacity to autonomously evaluate the quality, coverage, and compliance of crawled data, and to build the tooling to measure it.
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
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