Remote Research Engineer: AI Data Pipelines & Curation

Elevenlabs; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Innovative culture

Growth opportunities

Learning stipend

Social travel stipend

Annual offsite

Co-working stipend

Job summary

ElevenLabs is an AI research and product company focused on data infrastructure powering frontier models. The Research Engineer will own systems for collecting, processing, and curating vast datasets to train state-of-the-art AI models, enabling scalable experimentation and high-quality data.

The role emphasizes building tooling, pipelines, and evaluation methods, with remote-friendly options and potential collaboration across global hubs.

Qualifications

• Experience building data-intensive systems for ML training pipelines.
• Strong engineering skills in distributed data processing at scale.
• Ability to autonomously evaluate how data quality, composition, and curation affect model outcomes and to build tooling to measure it.

Responsibilities

• Build large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models.
• Train models used in data processing pipelines, such as classifiers and quality filters.
• Design data curation strategies (deduplication, quality scoring, labeling, augmentation) to improve model performance.
• Create tooling and infrastructure for researchers to explore and train on massive datasets quickly and reliably.

Skills

Data-intensive systems

Distributed data processing

Kubernetes

GitHub contributions

Data quality assessment tooling

Tools

Kubernetes

GitHub

Job description

ElevenLabs is an AI research and product company focused on data infrastructure powering frontier models. The Research Engineer will own systems for collecting, processing, and curating vast datasets to train state-of-the-art AI models, enabling scalable experimentation and high-quality data.

The role emphasizes building tooling, pipelines, and evaluation methods, with remote-friendly options and potential collaboration across global hubs.