Remote AI Data Engineer: Scale Global Training Data

Speechify

United States

Remoto

USD 30.000 - 110.000

Tempo pieno

2 giorni fa
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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Competitive compensation
Asynchronous work culture
Stock options

Descrizione del lavoro

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team. You will build data pipelines powering model training and next-generation AI products in a fully remote, international setting.

You’ll construct scalable data-processing systems, collaborate with AI scientists, and take ownership of projects from discovery to deployment, applying strong backend skills and production experience.

Competenze

  • 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 and operating production data pipelines or large-scale data processing.
  • Strong problem-solving skills and ability to work independently.

Mansioni

  • Discover new data sources and build reliable pipelines for training datasets.
  • Build and optimize large-scale data-processing systems for quality, throughput, and cost.
  • Collaborate with AI scientists to improve training datasets and models.
  • Own engineering projects from problem discovery through implementation and continuous improvement.

Conoscenze

5+ years software engineering
Python
Bash
Backend development

Formazione

Computer Science degree or related field

Descrizione del lavoro

Speechify is seeking a Software Engineer - AI Data to join its distributed AI team. You will build data pipelines powering model training and next-generation AI products in a fully remote, international setting.

You’ll construct scalable data-processing systems, collaborate with AI scientists, and take ownership of projects from discovery to deployment, applying strong backend skills and production experience.

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