Research Engineer - Data Infrastructure

Data Co Lab X; Greater London; Hybrid; GBP 134,000 - 202,000; Full time

Job summary

ElevenLabs is hiring a Research Engineer to build and maintain the data infrastructure powering frontier AI models. You will own large-scale pipelines for collecting, processing, filtering, transforming, and curating training data used to train state-of-the-art systems.

The role emphasizes autonomous problem solving in a high-velocity, globally distributed team. You will design data-curation strategies, develop tooling for researchers, and contribute to reproducible ML data pipelines across

Qualifications

• Experience building data-intensive systems for ML pipelines.
• Distributed data processing at scale (Kubernetes or equivalent).
• Ability to evaluate how data quality and curation affect model outcomes.
• Bonus: experience building or operating web crawlers.

Responsibilities

• Build and maintain large-scale data pipelines for training data.
• Train data-processing models and develop curation strategies.
• Create tooling for researchers to explore and train on datasets.
• Collaborate with a global, fast-moving team to improve data quality.

Skills

Distributed data processing

Machine learning pipelines

Kubernetes

Data engineering

Data curation

Data quality assessment

Dataset deduplication

Data labeling

Quality scoring

Data augmentation

Classifier training

Large-scale data pipelines

Research tooling

Web crawling

Tools

Kubernetes

Job description

Elevenlabs# Research Engineer – Data InfrastructureReview the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.Apply for this job View companyRemote from: UK, USA, Poland*+1 more*Salary: UndisclosedDepartment: Data Science & AnalyticsEmployment: Full TimeExperience: Open levelPublished: 24 Oct 2026Apply before: 23 Nov 2026Listing views: 693Application actions: 29Application toolkit## Make your next move.Prepare your resume, explore your fit, and draft a cover letter for this opportunity.AI Summary## The role, at a glance.ElevenLabs is seeking a Research Engineer to build the data infrastructure behind frontier AI models. The role owns large-scale pipelines for collecting, processing, filtering, transforming, and curating training data. Responsibilities also include training data-processing models, developing curation strategies, and creating reliable tooling for researchers working with massive datasets. The ideal candidate has strong distributed-systems engineering experience, machine-learning data pipeline knowledge, and the ability to work autonomously in a high-velocity global team.## Role DNAA quick view of the complexity, pace, ownership and collaboration implied by the job description.### Job Complexity5/5EasyHard### Pace & Pressure5/5RelaxedFast-paced### Autonomy Level5/5GuidedFull ownership### Communication Load4/5IndependentCollaborative**AI insight**This is a highly technical role combining distributed data infrastructure, ML-oriented data curation, and measurable model-quality improvement. The candidate must independently solve difficult systems problems at significant scale in a rapid experimentation environment.## Salary analysisEstimated compensation compared with the broader US market for similar roles.Estimated job median (per year)Market rate**$210,000**US market range (per year)**$175k–$270k**0$297k**AI insight**The yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly compensation estimate is an AI-generated USD market estimate for a senior-level research/data infrastructure engineering role in the US market; the annual cadence is inferred from the full-time professional role convention.## Core skillsSkills and capabilities most closely associated with this opportunity.Distributed data processingMachine learning pipelinesKubernetesData engineeringData curationData quality assessmentDataset deduplicationData labelingQuality scoringData augmentationClassifier trainingLarge-scale data pipelinesResearch toolingWeb crawlingModel evaluation**Sample interview questions**Opportunity details## About this role.### About ElevenLabsElevenLabs 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 $22B – 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 roleWe 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.### RequirementsWe 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.### LocationThis 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-RemoteWe 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.