Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$30к-100к/год
$55к$69кмедиана$82к
По похожим ролям (50) ~ $69к/год
На СНГ рынке: $3.8к/мес ($3к - $4.4к)
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Средняя вакансия
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Вакансия предлагает интересные задачи на стыке AI и обработки данных с понятной зоной ответственности, но зарплата ниже рыночного ориентира, а заявленный диапазон слишком широкий.
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Ниже рынкаРазброс зарплатыСовременный стекAI и аудиоПонятная ответственность
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 at petabyte scale with an accent on data quality, throughput, cost optimization, and scalability. Focus on discovering new data sources, improving training datasets with AI Scientists, and operating production systems in ambiguous environments.
Location: Remote; Belgium-based role
Salary: 30,000–100,000 USD per year plus bonus and stock, depending on experience
Company
hirify.global develops text-to-speech products that convert digital reading materials into audio to make reading more accessible and support learning.
What you will do
Discover new audio-data sources and build reliable pipelines that bring 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
Work in a fully distributed, asynchronous environment with no office.
Autonomy that supports focus and creativity.
Opportunity to influence the company and its products and work at the intersection of AI and audio.
Competitive compensation with bonus and stock.
Work on a product focused on accessibility and supporting people with learning differences.
Inclusive workplace committed to nondiscrimination.
Hiring process
Provide information about your background and interest in the role when applying.
Include links to your portfolio and LinkedIn profile.
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