Remote AI Data Software Engineer - Scale Training Data

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

Benefits offered by this job

Autonomy

Asynchronous work culture

Competitive compensation

Equity

Job summary

Speechify Inc. is seeking a Software Engineer, AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. The role emphasizes solving complex data problems and building scalable systems for petabyte-scale datasets.

You will partner with AI scientists to improve training datasets, optimize data quality, and reduce processing costs, while contributing to autonomous, impactful engineering work in a distributed team.

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

Backend development

Data pipelines

Problem solving

Independent work

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Bash

Job description

Speechify Inc. is seeking a Software Engineer, AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. The role emphasizes solving complex data problems and building scalable systems for petabyte-scale datasets.

You will partner with AI scientists to improve training datasets, optimize data quality, and reduce processing costs, while contributing to autonomous, impactful engineering work in a distributed team.