Remote AI Data Engineer for Scalable ML Pipelines

Speechify; United States; Remote; USD 30,000 - 120,000; Full time

Benefits offered by this job

Dynamic environment

Innovation

Autonomy

Significant impact

Competitive compensation

Asynchronous work culture

Inclusive mission

AI and audio focus

Job summary

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. The role focuses on acquiring audio data, constructing scalable data-processing systems, and improving data quality for high-performing AI models.

The ideal candidate will have 5+ years of software engineering experience, strong backend skills, and proficiency in Python and Bash in Linux environments.

Qualifications

• 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

Backend development

Data pipelines

Linux

Education

CS degree or equivalent

Job description

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. The role focuses on acquiring audio data, constructing scalable data-processing systems, and improving data quality for high-performing AI models.

The ideal candidate will have 5+ years of software engineering experience, strong backend skills, and proficiency in Python and Bash in Linux environments.