Job Opportunities API

At OnTheGoSystems, we're building AI systems that help people translate content across many languages. Our LLM team works with AI-generated translations, user edits, customer feedback, and quality data to continuously improve translation quality. We're looking for a Data Analyst who enjoys solving open-ended problems, finding patterns in complex datasets, and turning data into practical recommendations. This is not a reporting role. You'll decide what to measure, investigate why things happen, and help the team make better decisions based on evidence. What you'll do You'll own analytical problems from start to finish. For example, you may discover that users edit translations much more often for one language pair than another. Instead of simply reporting it, you'll investigate why. You'll form hypotheses, gather the data, test possible explanations, and recommend the next steps. Your work will include: Defining meaningful metrics for translation quality, AI performance, and user behavior. Monitoring trends and identifying unusual patterns or quality issues. Turning observations into structured investigations and testing multiple hypotheses. Extracting and combining data from SQL databases, NoSQL databases, logs, APIs, and CSV exports. Comparing results across language pairs, AI models, providers, customers, content types, traffic levels, and other dimensions. Separating real signals from coincidence by validating findings with data. Reviewing translation samples to confirm whether patterns represent genuine quality issues. Investigating root causes and recommending practical improvements. Evaluating multilingual AI output for meaning, terminology, tone, formality, grammar, pronouns, and consistency. Using AI tools, dictionaries, and other resources to investigate languages you don't speak, while recognizing when expert linguistic input is needed. Reviewing AI-generated analyses, identifying incorrect conclusions, and helping improve our automated evaluation systems. Building repeatable reports, scripts, and monitoring processes. Communicating findings clearly to developers, product managers, and linguists.