Software Engineer, AI Data (AI)

Location: Remote, Sweden-based; role title specifies Malmö, Sweden

Salary: $30,000–$115,000 USD/year plus bonus and stock, depending on experience

Company

hirify.global develops text-to-speech products that convert written content into audio for learning and accessibility, serving more than 50 million users across mobile, desktop, browser, and web applications.

What you will do

• Discover new audio data sources and build reliable pipelines that incorporate 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

• Fully distributed, asynchronous work culture with no office.
• Autonomy and an environment that supports focus, creativity, innovation, and initiative.
• Opportunity to shape products and work at the intersection of AI and audio.
• Competitive compensation with bonus and stock.
• Work on accessibility-focused products supporting people with learning differences.
• Inclusive workplace committed to equal opportunity and non-discrimination.

Hiring process

• Provide information about your background and interest in the role when applying.
• Include links to your portfolio and LinkedIn profile.