Senior QA Analyst, AI Solutions
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Job description
At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.
Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.
AI Proficiency at Sword
AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.
Explorer (Level 1) — Uses AI daily to boost personal productivity
Builder (Level 2) — Creates workflows and tools that elevate the whole team
Integrator (Level 3) — Embeds AI into products and processes at scale
Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.
What you’ll be doing:
- Ensure AI agents perform consistently before and after going live;
- Monitor performance across different healthcare environments and languages;
- Liaise with the clinical team to create protocols and understand what clinically relevant parameters should be monitored;
- Establish quality standards that work for AI systems, not traditional software;
- Fix the underlying prompt logic and reasoning chains;
- Create new testing methods to prevent similar issues;
- Figure out how to test systems designed to be intelligent and adaptive;
- Build frameworks for testing across infinite healthcare scenarios;
- Define what "good enough" means for AI in healthcare;
- Manage compliance with MDR (Medical Device Regulation) and AI Act requirements for AI systems together with the compliance team;
- Document quality processes and verification and validation procedures for regulatory submissions;
- Help ensure the algorithms perform with the expected accuracy and do not lead to bias;
- Work with compliance teams to achieve and maintain certification of the relevant algorithms;
- Help establish industry standards for AI quality assurance;
- Become one of the few experts in AI healthcare testing methodologies;
- Build your expertise in a field that's just being created;
What you need to have:
- Comfortable speaking and understanding English (doesn't need to be perfect);
- 2-6 years of experience in QA, testing, or analytical roles;
- Strong analytical and problem-solving skills;
- Comfortable learning new technologies and methodologies;
- Curious about the evolving AI landscape;
What we would love to see:
- Familiarity with secure handling of health data (GDPR, HIPAA);
- Experience with medical device regulations (MDR, 21 CFR 820, ISO 13485, IEC62304);
- Comfortable speaking and understanding Portuguese;
- Experience with AI tools or prompt engineering;
- Background in healthcare, enterprise software, or regulated industries;
- Familiarity with quality metrics and monitoring systems;
- Basic programming or scripting experience.
*The range below reflects base, variable, and equity for this role.
This is a starting point, not a ceiling — once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact.
Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation.
Originally posted on Himalayas
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