Remote AI Data Engineer: Build Scalable Training Data

Speechify; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Dynamic environment

Innovative team

Autonomy

Asynchronous culture

Job summary

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and AI products. We create high-quality datasets at petabyte scale by merging engineering, infrastructure, and research.

The ideal candidate thrives on solving complex data challenges, exploring new data sources, and delivering scalable data systems in a distributed, remote-first environment.

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

Problem-solving

Independent work

Team collaboration

Education

B.S. in Computer Science or related field

Tools

Python

Bash

Linux

Data pipelines

Terraform

GCP

Job description

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and AI products. We create high-quality datasets at petabyte scale by merging engineering, infrastructure, and research.

The ideal candidate thrives on solving complex data challenges, exploring new data sources, and delivering scalable data systems in a distributed, remote-first environment.