AI Data Engineer — Remote, Build Large-Scale Training Data

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

Benefits offered by this job

Competitive compensation

Asynchronous work culture

Impactful work

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed team.

You will help build data pipelines powering model training and next-generation AI products, assemble high-quality datasets at scale, and collaborate with AI scientists to improve training data and models. The ideal candidate has a CS degree or equivalent, 5+ years in backend software engineering, strong Python and Bash skills in Linux, and experience running production data systems.

Qualifications

• Degree in Computer Science or a related field or equivalent practical experience.
• 5+ years of professional software engineering experience.
• 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

Problem solving

Education

CS degree or related field

Tools

GCP

Terraform

CI/CD

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed team.

You will help build data pipelines powering model training and next-generation AI products, assemble high-quality datasets at scale, and collaborate with AI scientists to improve training data and models. The ideal candidate has a CS degree or equivalent, 5+ years in backend software engineering, strong Python and Bash skills in Linux, and experience running production data systems.