Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль предлагает содержательную работу на стыке AI и инженерии данных в продуктовой компании, но без указанной зарплаты и с ограничением по Великобритании сложнее оценить оплату и доступность вакансии.
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Зарплата не указанаТолько ВеликобританияАктуальные технологииСфера AIПонятные задачиАсинхронная работа
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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, cost efficiency, and scalable infrastructure. Focus on discovering new audio sources, improving production data systems, and collaborating with AI Scientists on next-generation models.
Location: Remote; position based in Newcastle, United Kingdom
Company
hirify.global develops text-to-speech products that convert written content into audio and serve more than 50 million users.
What you will do
Discover new audio data sources 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 model development.
Own engineering projects from problem discovery through implementation and continuous improvement.
Requirements
A 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 100% distributed, asynchronous environment with no office.
Autonomy and a focus on innovation, intuition, creativity, and independent contribution.
Competitive compensation and a welcoming work environment.
Work at the intersection of artificial intelligence and audio on a product designed to improve access to learning.
Inclusive workplace committed to equal opportunity and non-discrimination.
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