Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$30к-65к/год
$55к$65кмедиана$75к
По похожим ролям (50) ~ $65к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
62
Средняя вакансия
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Чёткая специализация на AI-инженерии данных и удалённый формат выглядят привлекательно, но зарплата заметно ниже ориентира для сопоставимых ролей, что существенно снижает привлекательность предложения.
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Ниже рынкаПонятные задачиСовременный стекСфера ИИ
Оценка от Hirify AI
Мэтч & Сопровод
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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, and cost efficiency. Focus on discovering new data sources, scaling production systems, and collaborating with AI Scientists to improve next-generation training datasets.
Location: Remote; Portugal-based role associated with Braga, Portugal
Salary: $30,000–$65,000 USD per year, plus bonus and stock, depending on experience
Company
hirify.global develops text-to-speech products that convert written content into audio to make reading more accessible and support learning.
What you will do
Discover new sources of audio data and build reliable pipelines that bring 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 AI 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
Fully distributed, asynchronous work environment with no office.
Autonomy that supports focus and creativity.
Opportunity to influence the company and its products while working at the intersection of AI and audio.
Competitive compensation, bonus, stock, and a welcoming workplace.
Inclusive product mission focused on accessibility for people with learning differences.
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