Remote AI Data Engineer — Large-Scale Pipelines

Speechify; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Autonomy

Competitive compensation

Asynchronous work culture

Job summary

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training. You will source new audio data, design scalable pipelines, and collaborate with AI scientists to improve datasets and next‑generation models.

The role emphasizes ownership from problem discovery through implementation, working with production data systems, and optimizing for quality, throughput, and cost in a fast‑moving, remote 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

Python

Bash

Linux

Backend development

Data pipelines

Production systems

Data processing

Education

A degree in Computer Science or a related field

Tools

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training. You will source new audio data, design scalable pipelines, and collaborate with AI scientists to improve datasets and next‑generation models.

The role emphasizes ownership from problem discovery through implementation, working with production data systems, and optimizing for quality, throughput, and cost in a fast‑moving, remote environment.