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9 дней назад

Software Engineer, AI Data (AI)

30 000 - 100 000$
Формат работы
remote (только Finland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Finland
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 data quality, throughput, cost efficiency, and scalable infrastructure. Focus on discovering new data sources, improving training datasets with AI Scientists, and solving complex engineering problems from discovery through continuous improvement.

Location: Remote; Finland-based role associated with Tampere, Finland

Salary: $30,000–$100,000 USD/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 for 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 AI models.
  • Own engineering projects from problem discovery through implementation and continuous improvement.

Requirements

  • 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.

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

  • Work in a 100% distributed, asynchronous environment with no office.
  • Autonomy to support focus and creativity.
  • Opportunity to shape products and work at the intersection of AI and audio.
  • Competitive compensation with bonus and stock.
  • Work on products intended to support people with learning differences such as dyslexia and ADD.
  • Inclusive workplace committed to equal opportunity.

Hiring process

  • Submit information about your background and interest in the role.
  • Include links to your portfolio and LinkedIn profile.

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