24K–38K EUR / year

QA Analyst, Mind

QAWorkplace — unknown
Published on 2026-11-04
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Join Sword’s Mind team as a QA Analyst, helping ensure AI-powered mental healthcare experiences are reliable, safe, and usable. Collaborate across product, engineering, design, AI, and clinical teams throughout discovery, development, testing, and release.

About the company

Sword Health is a digital musculoskeletal care company that helps employers and health plans deliver AI-powered physical therapy and related care programs.

The team

Mind team

Stack

PostmanJiraGitAndroid Studio

What you'll do

  • Contribute to product discovery, requirements, and feature design to identify quality risks early
  • Translate requirements into acceptance criteria and test scenarios
  • Design, execute, and maintain functional, regression, integration, and end-to-end tests
  • Test mobile apps, backend services, APIs, and AI-powered features
  • Document defects and coordinate with engineers through resolution
  • Improve QA processes, documentation, and test automation

What we're looking for

  • 1–2 years of QA, software testing, or software development experience with hands-on testing
  • Experience designing, executing, and documenting test cases
  • Basic to intermediate programming knowledge and ability to understand code
  • Strong analytical skills, attention to detail, and proactive problem-solving
  • Able to work independently and collaborate across teams
  • Strong written and verbal English

Nice to have

  • Background in psychology, mental health, or a related field
  • Interest in mental health, behavioural science, and digital healthcare
  • Demonstrable AI projects or AI-driven workflows
  • Knowledge of APIs, HTTP requests, and Postman
  • Test automation experience and familiarity with Jira, Git, or Android Studio
  • Understanding of healthcare products, clinical workflows, or safety-critical software
  • Experience using AI tools to improve development, testing, or team workflows
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