Remote AI Data Engineer: Scalable Training Pipelines

Speechify Inc.; Polska; Hybrid; PLN 544,000 - 777,000; Full time

Benefits offered by this job

Remote-first culture

Equity

Bonus

Competitive salary

Professional growth

Flexible work

Job summary

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build the data pipelines powering model training and next-generation AI products. We develop high-quality datasets at petabyte scale, combining engineering, infrastructure, and research to improve AI training efficiency.

We value engineers who enjoy solving complex problems, exploring new data sources, and delivering scalable systems.

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.

Skills

Python

Bash

Backend development

Data pipelines

Production systems

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build the data pipelines powering model training and next-generation AI products. We develop high-quality datasets at petabyte scale, combining engineering, infrastructure, and research to improve AI training efficiency.

We value engineers who enjoy solving complex problems, exploring new data sources, and delivering scalable systems.