aipythonlinuxbashdata pipelinesaudio processinglarge scale data processing
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$30к-120к/год
$55к$67кмедиана$76к
По похожим ролям (50) ~ $67к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
85
Хорошая вакансия
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Здесь понятная специализация на инженерии данных для ИИ, зарплата выше рыночного ориентира и востребованный продуктовый домен, но очень широкий диапазон оставляет неопределённость по фактической оплате.
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Широкий диапазонСовременный стекВыше рынкаСфера ИИПонятные задачиГибкий формат
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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, cost efficiency, and scalability. Focus on discovering new data sources, optimizing petabyte-scale processing, and collaborating with AI Scientists on next-generation models.
Salary: USD 30,000–120,000 per year plus bonus and stock, depending on experience.
Company
hirify.global develops text-to-speech products across mobile, desktop, browser extension, and web platforms to make reading more accessible.
What you will do
Discover new sources of audio data and build reliable pipelines that integrate 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
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, asynchronous work environment with no office.
Autonomy and a focus on innovation, intuition, creativity, and individual ownership.
Opportunity to work at the intersection of artificial intelligence and audio.
Competitive compensation with bonus and stock.
Work on products designed to improve accessibility for people with learning differences.
Inclusive workplace committed to equal opportunity and non-discrimination.
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