Remote Software Engineer - AI Data Pipelines

Speechify; United States; Remote; USD 30,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation

Async work culture

Impactful AI products

Job summary

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation AI products. The role focuses on creating reliable data sources, scalable processing systems, and close collaboration with AI scientists to improve training datasets.

You will take ownership of projects from discovery through delivery in a fully remote, international setup, contributing to a rapidly evolving field at the intersection of AI and

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 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

5+ years exp

Python

Bash

Backend development

Data pipelines

Education

Bachelor's in Computer Science or related field

Tools

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team and build data pipelines powering model training and next-generation AI products. The role focuses on creating reliable data sources, scalable processing systems, and close collaboration with AI scientists to improve training datasets.

You will take ownership of projects from discovery through delivery in a fully remote, international setup, contributing to a rapidly evolving field at the intersection of AI and