Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$30к-60к/год
$60к$72кмедиана$86к
По похожим ролям (50) ~ $72к/год
На СНГ рынке: $3.8к/мес ($3к - $4.4к)
65
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Работа с данными для ИИ описана понятно, а продуктом пользуется широкая аудитория, но зарплата заметно ниже ориентира для сопоставимых senior-ролей, что снижает привлекательность предложения.
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Ниже рынкаСовременный стекСфера ИИПонятные задачиАсинхронная работа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, AI Data (Python/Bash): Building reliable audio data pipelines and large-scale processing systems for petabyte-scale AI training datasets with an accent on data quality, throughput, cost efficiency, and production reliability. Focus on discovering data sources, scaling dataset infrastructure, and collaborating with AI Scientists to support next-generation models.
Location: Remote; Slovakia-based role
Salary: $30,000–$60,000 USD per year, plus bonus and 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 platforms, serving more than 50 million users.
What you will do
Discover audio data sources and build reliable pipelines to incorporate them into AI training datasets.
Build and improve large-scale data-processing systems optimized for 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 environment with no office and an asynchronous work culture.
Autonomy that supports focus and creativity.
Opportunity to work at the intersection of artificial intelligence and audio.
Work on products intended to improve accessibility and support people with learning differences.
Competitive compensation, bonus, stock, and a welcoming workplace.
Hiring process
Submit information about your background and interest in the role.
Include links to your portfolio and LinkedIn profile.
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