Remote AI Data Engineer for Large-Scale Pipelines

Speechify; United States; Remote; USD 30,000 - 75,000; Full time

Benefits offered by this job

Dynamic environment

Innovative culture

Autonomy

Impact in AI & audio products

Competitive compensation

Job summary

Speechify is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and next-generation products. We craft petabyte-scale datasets by combining engineering, infrastructure, and research, aiming for efficient, scalable AI data solutions.

You will partner with AI Scientists to improve training datasets and support model development, taking ownership from discovery to delivery in a fast-paced distributed 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

Python

Linux

Data pipelines

Problem solving

Independent work

Education

CS degree or equivalent

Tools

Terraform

GCP

Job description

Speechify is seeking a Software Engineer - AI Data to join our AI team and build data pipelines powering model training and next-generation products. We craft petabyte-scale datasets by combining engineering, infrastructure, and research, aiming for efficient, scalable AI data solutions.

You will partner with AI Scientists to improve training datasets and support model development, taking ownership from discovery to delivery in a fast-paced distributed environment.