OnTheGoSystems is seeking a Data Analyst to help measure and improve translation quality for AI-powered content. Our LLM team works with AI-generated translations, user edits, customer feedback, and quality data to continuously enhance translation quality. This role is fully remote.

What you will do: - Own analytical problems from start to finish, form hypotheses, gather data, test explanations, and translate findings into practical next steps. - 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. - Separate real signals from coincidence by validating findings with data; review translation samples to confirm whether patterns indicate genuine quality issues; investigate root causes and propose improvements. - Evaluate multilingual AI output for meaning, terminology, tone, formality, grammar, pronouns, and consistency; use AI tools, dictionaries, and other resources to investigate languages you don\'t speak while recognizing when linguistic input is needed. - Review AI-generated analyses to ensure accuracy and help improve automated evaluation systems; build repeatable reports, scripts, and monitoring processes. - Communicate findings clearly to developers, product managers, and linguists; demonstrate s

OnTheGoSystems is seeking a Data Analyst to help measure and improve translation quality for AI-powered content. Our LLM team works with AI-generated translations, user edits, customer feedback, and quality data to continuously enhance translation quality. This role is fully remote.

What you will do: - Own analytical problems from start to finish, form hypotheses, gather data, test explanations, and translate findings into practical next steps. - 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. - Separate real signals from coincidence by validating findings with data; review translation samples to confirm whether patterns indicate genuine quality issues; investigate root causes and propose improvements. - Evaluate multilingual AI output for meaning, terminology, tone, formality, grammar, pronouns, and consistency; use AI tools, dictionaries, and other resources to investigate languages you don\'t speak while recognizing when linguistic input is needed. - Review AI-generated analyses to ensure accuracy and help improve automated evaluation systems; build repeatable reports, scripts, and monitoring processes. - Communicate findings clearly to developers, product managers, and linguists; demonstrate s