QA Analyst - AI Solutions (Greek Speaking)
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Some ghost-posting signals
- open for 112 days (90+ without a fill is a strong ghost signal)
- 54 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About 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;
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.
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