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9 дней назад

Software Engineer, AI Data (AI)

30 000 - 75 000$
Формат работы
remote (только Latvia)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Latvia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, AI Data (AI): Building reliable audio data pipelines and large-scale data-processing systems for AI model training with an accent on dataset quality, throughput, and cost efficiency. Focus on discovering new data sources, scaling production systems, and collaborating with AI Scientists to improve next-generation training datasets.

Location: Remote; role is identified as Riga, Latvia and the salary is specified for Latvia-based employees.

Salary: USD 30,000–75,000 per year, plus bonus and stock, depending on experience.

Company

hirify.global develops text-to-speech products that convert written content into audio to make reading more accessible and support learning.

What you will do

  • Discover new sources of audio data and build reliable pipelines to incorporate them into AI training datasets.
  • Build and improve large-scale data-processing systems, optimizing data quality, throughput, and cost.
  • Collaborate with AI Scientists to improve training datasets and support next-generation model development.
  • Own engineering projects from problem discovery through implementation and continuous improvement.

Requirements

  • 5+ years of professional software engineering experience with strong backend development fundamentals.
  • Degree in Computer Science or a related field, or equivalent practical experience.
  • 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.

Nice to have

  • Experience with web crawlers, data acquisition, or distributed data-processing systems.
  • Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform.
  • Familiarity with ML training data, dataset quality, or audio processing.

Culture & Benefits

  • Fully distributed work environment with asynchronous collaboration.
  • Autonomy that supports focus and creativity.
  • Opportunity to influence products and work at the intersection of artificial intelligence and audio.
  • Competitive compensation, bonus, stock, and a welcoming work environment.
  • Inclusive workplace committed to diversity and equal opportunity.

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