Remote Research Engineer: Data Infrastructure for AI

Jobicy; 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 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