Data Analyst - AI Translation Quality

OnTheGoSystems is a remote team of tech enthusiasts, innovators, creatives, and engineers working together to harness the power of translation technologies and allow businesses of all sizes to go global. They develop cutting-edge, affordable tools involving algorithms, AI, and machine learning to make an impact.

• Strong analytical thinking, curiosity, and attention to detail.
• The ability to work independently and define what should be investigated.
• Experience turning open-ended questions into structured analyses and actionable recommendations.
• A solid understanding of metrics, segmentation, distributions, correlations, and the difference between correlation and causation.
• Experience writing SQL, Python, or similar scripts to collect, clean, and analyze data.
• Experience working with multiple data sources, including databases, logs, APIs, and exported datasets.
• Strong hands-on experience using AI tools while critically evaluating their output.
• Fluent English plus at least one additional language (preferably European), with the ability to assess translation quality and explain language issues.
• Clear written communication and the ability to explain analytical findings to non-technical colleagues.

Nice to have:

• Experience with translation quality or localization.
• Experience with multilingual content.
• Experience with data visualization or business intelligence tools.

• 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 automated evaluation systems.
• Building repeatable reports, scripts, and monitoring processes.
• Communicating findings clearly to developers, product managers, and linguists.