Remote AI Data Engineer – Scale Data Pipelines

Speechify Inc.; Brussel Hoofdstad; Hybrid; EUR 27,000 - 89,000; Full time

Benefits offered by this job

Competitive compensation

Stock options

Asynchronous work culture

Impactful AI product

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team. You will build data pipelines powering model training, handle petabyte-scale datasets, and collaborate with AI scientists to improve training data for next-generation models.

We value solving complex problems, exploring new data sources, and building scalable systems. This role offers a remote, fully distributed work environment with competitive compensation and equity potential.

Qualifications

• 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.

Skills

Backend development

Python

Bash

Data pipelines

Independent work

Education

CS degree or equivalent

Tools

Linux

Terraform

GCP

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team. You will build data pipelines powering model training, handle petabyte-scale datasets, and collaborate with AI scientists to improve training data for next-generation models.

We value solving complex problems, exploring new data sources, and building scalable systems. This role offers a remote, fully distributed work environment with competitive compensation and equity potential.