Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше среднего
$140к-200к/год
$55к$73кмедиана$170к
По похожим ролям (50) ~ $73к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
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Хорошая вакансия
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Чётко очерченная роль в AI data engineering предлагает хорошую зарплату, работу с крупными обучающими датасетами и самостоятельность, но доступна только специалистам в США.
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Только СШАСовременный стекAI и аудиоЗарплата в рынкеСамостоятельность
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, AI Data (AI): Building petabyte-scale audio data pipelines and large-scale data-processing systems for AI model training with an accent on data quality, throughput, cost efficiency, and scalable infrastructure. Focus on discovering data sources, improving training datasets with AI scientists, and solving complex engineering problems from discovery through continuous improvement.
Location: Remote; role and compensation are tied to the United States.
United States base salary: $140,000–$200,000 per year, plus bonus and equity, depending on experience.
Company
hirify.global develops text-to-speech products that convert reading materials into audio across iOS, Android, Mac, Chrome Extension, and web applications.
What you will do
Discover new sources of audio data and build reliable pipelines for 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 models.
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.
Competitive compensation with bonus and equity.
Inclusive workplace focused on improving access to learning for people with learning differences.
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