Software Engineer, AI Data (AI)

Location: Remote, France-based; role title specifies Lyon, France

Salary: $30,000–$100,000 USD per year, plus bonus and stock, depending on experience

Company

hirify.global develops text-to-speech products that convert PDFs, books, documents, articles, websites, and other reading content into audio for more than 50 million users.

What you will do

• Discover new sources of audio data and build reliable pipelines to integrate 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 and an asynchronous work culture.
• Autonomy that supports focus and creativity.
• Opportunity to work at the intersection of artificial intelligence and audio on a product designed to reduce barriers to learning.
• Competitive compensation, bonus, stock, and a welcoming, diverse, and inclusive workplace.
• Opportunity to make a significant impact on products used by people with learning differences, including dyslexia and ADD.

Hiring process

• Applicants should describe their background and interest in the role.
• Applicants should include links to their portfolio and LinkedIn profile.