AI Data Engineer: Build Scalable Training Pipelines (Remote)

Speechify

United States

Remote

USD 140,000 - 200,000

Full time

14 days+

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Job summary

Speechify, a fully distributed company, is seeking a Software Engineer - AI Data to power our model training and next-generation AI products. You will help build high-quality datasets at petabyte scale, partnering with AI Scientists to improve training data and models.

This is a fully remote role with compensation including bonus and equity, reflecting impact across a globally distributed team. Join a team that values autonomy, innovation, and driving a revolutionary industry forward in an

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

Python
Bash
Linux
Backend dev
Data pipelines

Education

CS degree

Job description

Speechify, a fully distributed company, is seeking a Software Engineer - AI Data to power our model training and next-generation AI products. You will help build high-quality datasets at petabyte scale, partnering with AI Scientists to improve training data and models.

This is a fully remote role with compensation including bonus and equity, reflecting impact across a globally distributed team. Join a team that values autonomy, innovation, and driving a revolutionary industry forward in an

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