Data Analyst – AI Translation Quality
Company:OnTheGoSystems
- Define meaningful metrics for translation quality, AI performance, and user behavior.
- Monitor trends and identify unusual patterns or quality issues.
- Turn observations into structured investigations and test multiple hypotheses.
- Extract and combine data from SQL databases, NoSQL databases, logs, APIs, and CSV exports.
- Compare results across language pairs, AI models, providers, customers, content types, and traffic levels.
- Review translation samples to confirm whether patterns represent genuine quality issues.
- Investigate root causes and recommend practical improvements.
- Evaluate multilingual AI output for meaning, terminology, tone, formality, grammar, pronouns, and consistency.
- Build repeatable reports, scripts, and monitoring processes.
- Communicate findings clearly to developers, product managers, and linguists.
