Remote AI Data Engineer: Build Scalable Training Pipelines

Speechify Inc.

Oregon

Hybrid

USD 140,000 - 200,000

Full time

6 days ago
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Benefits offered by this job

Autonomy
Asynchronous work culture
Competitive compensation
Impactful work in AI & audio

Job summary

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and next-generation AI products. We create high-quality datasets at petabyte scale, combining engineering, infra, and research.

You will discover new data sources, build scalable pipelines, and collaborate with AI scientists to improve training data and models. This role offers autonomy, remote work, and the chance to impact learning experiences for millions.

Qualifications

  • Degree in Computer Science or related field, or equivalent practical experience.
  • 5+ years of professional software engineering experience, with backend focus.
  • Proficiency in Python and Bash in Linux environments.
  • Experience building/operating production data pipelines and data processing systems.
  • Strong problem-solving skills and ability to work independently in ambiguous settings.

Responsibilities

  • Discover new sources of audio data and build reliable pipelines for training datasets.
  • Develop and optimize large-scale data-processing systems for quality and cost.
  • Collaborate with AI scientists to improve training data and next-gen models.
  • Take ownership of projects from problem discovery to delivery and continuous improvement.

Skills

Backend development
Python proficiency
Linux Bash
Problem solving
Independent worker

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform
GCP
Git

Job description

Speechify Inc. is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training and next-generation AI products. We create high-quality datasets at petabyte scale, combining engineering, infra, and research.

You will discover new data sources, build scalable pipelines, and collaborate with AI scientists to improve training data and models. This role offers autonomy, remote work, and the chance to impact learning experiences for millions.

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