Sword HealthQA Analyst, Greek Speaking
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at www.swordhealth.com.
About Sword Intelligence: At Sword Health, we spent years perfecting AI systems across our own patient population of millions, learning what works in real healthcare environments. Now, through Sword Intelligence, we're taking those battle-tested technologies and productizing them for health systems, governments, and insurance companies worldwide. See our website for more information.
About the role: Hospitals are hemorrhaging staff, insurance claims are drowning in bureaucracy, and governments can't keep up with demand. While everyone else talks about "digital transformation," we're actually doing it – deploying human + AI solutions that work in the real world, not just in demos.
As our QA Analyst, you'll be the guardian of quality for AI Agents that are already changing healthcare. You'll own the complete quality lifecycle, from pre-launch validation to continuous post-deployment improvement. This means you don't just catch problems; you solve them, monitor for new ones, and proactively strengthen our AI Agents.
Think of it as being a quality engineer for the future. You'll identify issues, implement solutions, measure the impact, and continuously evolve our AI to perform better. When you spot a problem with how our AI handles a medical scenario, you'll trace it to the root cause, modify the underlying prompt/logic, validate the fix works across different contexts, and establish monitoring to prevent similar issues.
This is quality assurance that actually improves the product, not just documents what's wrong with it.
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;
When the AI Agent does not follow the defined protocol, trace why it happened;
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.
What you need to have:
Fluently speak Greek;
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);
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.
Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.