Remote AI Data Engineer for Scalable Audio Pipelines

Speechify; Brighton; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Asynchronous culture

Autonomy

Impactful work

Diversity & inclusion

Job summary

Speechify is seeking a Software Engineer, AI Data to join its distributed AI team and build data pipelines powering model training and next‑gen AI products. The role focuses on discovering new data sources, creating reliable data pipelines, and scaling data processing to petabyte-scale datasets.

You will collaborate with AI scientists to improve training datasets and support model development, owning projects from discovery to implementation while working autonomously in a fully remote, async

Qualifications

• Degree in Computer Science or related field, or equivalent practical experience.
• 5+ years of professional software engineering experience with strong backend development fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production systems, ideally with data pipelines or large-scale data processing.
• Strong problem-solving skills and ability to work independently in ambiguous environments.

Responsibilities

• Discover new sources of audio data and build reliable pipelines to bring them into our training datasets.
• Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost.
• Collaborate closely with AI Scientists to improve training datasets and support the development of next-generation models.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Python

Bash

Backend dev

Data pipelines

Production systems

Problem solving

Education

Bachelors in Computer Science

Tools

GCP

Terraform

Linux

Job description

Speechify is seeking a Software Engineer, AI Data to join its distributed AI team and build data pipelines powering model training and next‑gen AI products. The role focuses on discovering new data sources, creating reliable data pipelines, and scaling data processing to petabyte-scale datasets.

You will collaborate with AI scientists to improve training datasets and support model development, owning projects from discovery to implementation while working autonomously in a fully remote, async