Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$30к-160к/год
$55к$68кмедиана$76к
По похожим ролям (50) ~ $68к/год
На СНГ рынке: $3.8к/мес ($3к - $4.4к)
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Задачи в AI data engineering описаны понятно, а зарплата выше рыночного ориентира, но слишком широкий диапазон не позволяет понять, на какую сумму реально рассчитывать.
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Разброс в оплатеАктуальные технологииСфера ИИПонятные задачиАсинхронная работа
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 data quality, throughput, cost efficiency, and scalability. Focus on discovering new data sources, operating production systems, and collaborating with AI Scientists to improve training datasets and next-generation models.
Location: Remote; position based in Lausanne, Switzerland
Salary: 30,000–160,000 USD/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 applications.
What you will do
Discover new sources of audio data and build reliable pipelines for incorporating 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 work environment with no office.
Asynchronous work culture with autonomy, focus, and creativity.
Opportunity to shape products and work at the intersection of artificial intelligence and audio.
Competitive compensation with bonus and stock.
Inclusive workplace committed to diversity and accessibility.
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