Data Analyst – AI Translation Quality
New
O
OnTheGoSystemsAI Translation
100% remote positionFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Fluent English plus at least one additional language (preferably European)
- Required Skills
- PythonSQLBusiness IntelligenceData AnalysisNosqlData visualization
Requirements
- Strong analytical thinking, curiosity, and attention to detail.
- Ability to work independently and define what should be investigated.
- Experience turning open-ended questions into structured analyses and actionable recommendations.
- 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).
- Ability to assess translation quality and explain language issues.
- Clear written communication and the ability to explain analytical findings to non-technical colleagues.
Responsibilities
- 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.
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