Remote AI Data Engineer — Scale Training Datasets

Speechify; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Dynamic environment

Innovative team

Autonomy

Impactful work

Competitive compensation

Job summary

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-gen AI products. You will work on high-quality datasets at petabyte scale, combining engineering, infrastructure, and research to improve training efficiency and scalability.

The ideal candidate has 5+ years in software engineering, strong backend fundamentals, and experience with data pipelines.

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

Python

Bash

Data pipelines

Large-scale data processing

Problem-solving

Independent work

Education

Bachelor's degree in Computer Science or related field

Tools

Linux

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 next-gen AI products. You will work on high-quality datasets at petabyte scale, combining engineering, infrastructure, and research to improve training efficiency and scalability.

The ideal candidate has 5+ years in software engineering, strong backend fundamentals, and experience with data pipelines.