AI Data Engineer - Build Scalable Training Pipelines

Speechify Inc.; Tampere; Remote; EUR 27,000 - 89,000; Full time

Benefits offered by this job

Autonomy

Competitive compensation

Asynchronous work culture

Dynamic environment

Impact in AI/ audio products

Inclusive workplace

Job summary

Speechify Inc. is hiring a Software Engineer - AI Data to join its fully remote AI team. You will build and optimize data pipelines powering model training and next‑generation AI products, handling petabyte-scale datasets and diverse data sources.

Ideal candidates have strong backend skills, Python, Bash, and experience with production data systems, and enjoy solving complex problems in a distributed, asynchronous work environment that values impact and autonomy.

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

Python

Bash

Data pipelines

Production systems

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

Terraform

Linux

Job description

Speechify Inc. is hiring a Software Engineer - AI Data to join its fully remote AI team. You will build and optimize data pipelines powering model training and next‑generation AI products, handling petabyte-scale datasets and diverse data sources.

Ideal candidates have strong backend skills, Python, Bash, and experience with production data systems, and enjoy solving complex problems in a distributed, asynchronous work environment that values impact and autonomy.