Remote AI Data Engineer for Scalable Audio

Speechify; West of England; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation

Asynchronous work culture

Remote-friendly environment

Job summary

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team. You’ll build and operate data pipelines powering model training, datasets at scale, and next-generation AI products.

Based remotely with a Bristol focus, you’ll collaborate with AI scientists and engineers to improve data quality, throughput, and cost, while delivering robust production systems for learning from diverse audio sources.

Qualifications

• A degree in Computer Science or a 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 involving data pipelines or large-scale data processing.
• Strong problem-solving skills, initiative, and the 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.

Job description

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team. You’ll build and operate data pipelines powering model training, datasets at scale, and next-generation AI products.

Based remotely with a Bristol focus, you’ll collaborate with AI scientists and engineers to improve data quality, throughput, and cost, while delivering robust production systems for learning from diverse audio sources.