Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$30к-110к/год
$55к$65кмедиана$75к
По похожим ролям (50) ~ $65к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
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Чётко обозначенная роль в AI data engineering в продуктовой компании предлагает работу с крупными системами, но зарплата соответствует рынку, а указанная в вакансии вилка слишком широкая.
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Разброс зарплатыСовременный стекСфера ИИПонятные задачиАсинхронная работа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, AI Data (AI): Building petabyte-scale audio data pipelines and large-scale data-processing systems for AI model training with an accent on data quality, throughput, cost efficiency, and scalability. Focus on discovering audio sources, operating production systems, and collaborating with AI Scientists to improve datasets for next-generation models.
Location: Remote, Spain-based role; Bilbao, Spain
Salary: 30,000–110,000 USD/year + bonus + stock, depending on experience
Company
hirify.global develops text-to-speech products that convert written content into audio across iOS, Android, Mac, Chrome, and web applications.
What you will do
Discover new audio data sources and build reliable pipelines to incorporate them into 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
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
100% distributed work with no office and an asynchronous work culture.
Autonomy that supports focus and creativity.
Innovation, initiative, intuition, and drive are valued.
Opportunity to work at the intersection of artificial intelligence and audio on a product designed to reduce barriers to learning.
Competitive compensation, bonus, stock, and a welcoming work environment.
Inclusive workplace committed to non-discrimination and equal opportunity.
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