AI Data Engineer – Large-Scale Pipelines & Datasets

Speechify; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Speechify is seeking a Software Engineer - AI Data to join its distributed, remote team. You will help build data pipelines and large-scale data-processing systems that power our AI training and next-generation models.

You will collaborate with AI Scientists, own projects from discovery through deployment, and contribute to data quality, throughput, and cost optimization in a fast-growing, asynchronous environment.

Qualifications

• Degree in Computer Science or related field, or equivalent practical experience.
• 5+ years of professional software engineering experience with strong backend 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

Backend development

Linux

Data pipelines

Bash

Data processing

Production systems

Cloud (GCP)

Education

BS in Computer Science or related field

Tools

Terraform

GCP

Job description

Speechify is seeking a Software Engineer - AI Data to join its distributed, remote team. You will help build data pipelines and large-scale data-processing systems that power our AI training and next-generation models.

You will collaborate with AI Scientists, own projects from discovery through deployment, and contribute to data quality, throughput, and cost optimization in a fast-growing, asynchronous environment.