Remote AI Data Engineer — Scale Training Pipelines

Speechify Inc.; Oregon; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Dynamic environment

Innovative team

Autonomy

Industry impact

Competitive compensation

Asynchronous culture

AI & audio domain

Job summary

Speechify Inc. in the United States is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and next‑gen AI products. We create high-quality datasets at petabyte scale, merging engineering, infrastructure, and research.

You will solve complex problems, explore new data sources, and build scalable systems that improve AI training efficiency. This fully distributed team values autonomy, collaboration, and impact, offering a competitive salary,

Qualifications

• Degree in Computer Science or 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, initiative, and ability to work independently in ambiguous environments.

Responsibilities

• Discover new sources of audio data and build reliable pipelines to bring them into 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 model development.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Python

Bash

Backend development

Data pipelines

Problem solving

Independent work

Education

CS degree or related field

Job description

Speechify Inc. in the United States is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and next‑gen AI products. We create high-quality datasets at petabyte scale, merging engineering, infrastructure, and research.

You will solve complex problems, explore new data sources, and build scalable systems that improve AI training efficiency. This fully distributed team values autonomy, collaboration, and impact, offering a competitive salary,