Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$140к-200к/год
$180к$220кмедиана$270к
По похожим ролям (50) ~ $220к/год
На СНГ рынке: $4.2к/мес ($3.6к - $5.3к)
70
Хорошая вакансия
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Чёткая роль на стыке инженерии данных и ИИ, продуктовый контекст и удалённый формат выглядят привлекательно, но зарплатный диапазон ниже рыночного ориентира, что снижает общую ценность предложения.
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Ниже рынкаСовременный стекСфера ИИПонятные задачиУдалённая команда
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, AI Data (Python/Bash): Building petabyte-scale data pipelines and processing systems for AI model training with an accent on audio data acquisition, dataset quality, throughput, and cost optimization. Focus on discovering new data sources, improving scalable production systems, and collaborating with AI Scientists on next-generation models.
Location: Remote; role based in Tulsa, OK, USA
Salary: United States base salary of $140,000–$200,000 per year, plus bonus and equity, depending on experience
Company
hirify.global develops text-to-speech products that convert written content into audio, including iOS, Android, Mac, Chrome Extension, 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 work at the intersection of artificial intelligence and audio.
Inclusive workplace focused on products that support people with learning differences.
Competitive compensation, bonus, equity, and a welcoming work environment.
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