Remote Research Engineer — Scalable Data Infrastructure

AI Startups UK; United Kingdom; Remote; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Innovative culture

Growth paths

Learning stipend

Annual offsite

Co-working stipend

Job summary

ElevenLabs is seeking a Research Engineer to join the research team, focusing on data infrastructure powering our frontier AI models. You will own systems enabling large-scale data collection, processing, and labeling to support state‑of‑the‑art training.

You’ll build pipelines, train models used in data processing, and design curation strategies to improve model performance. This role is remote globally, with optional office work in London, New York, or other hubs.

Qualifications

• Experience building data-intensive systems for ML training.
• Strong distributed data processing skills at scale.
• Ability to measure how data quality affects model outcomes.
• Familiarity with Kubernetes or similar infrastructure.

Responsibilities

• Build large-scale data pipelines for collecting, processing, and transforming datasets for training.
• Train models used in data processing pipelines, such as classifiers and quality filters.
• Design data curation strategies to improve model performance through labeling and augmentation.
• Create tooling and infrastructure enabling researchers to explore and train on massive datasets quickly.

Skills

Data-intensive systems

Distributed data processing

Data quality assessment

ML training pipelines

Tools

Kubernetes

Job description

ElevenLabs is seeking a Research Engineer to join the research team, focusing on data infrastructure powering our frontier AI models. You will own systems enabling large-scale data collection, processing, and labeling to support state‑of‑the‑art training.

You’ll build pipelines, train models used in data processing, and design curation strategies to improve model performance. This role is remote globally, with optional office work in London, New York, or other hubs.