Analyze, evaluate, and improve the quality of multilingual text classifier outputs.
Partner with linguistics and engineering teams to develop and refine language-specific parsers.
Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Arabic (and/or Arabic to English as needed).
Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows.
Document findings clearly and follow established processes to ensure consistency and quality.

Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred).
Fluency in reading and writing and English, with strong attention to linguistic detail.
Understanding of syntax and structural language analysis.
Proficiency in Microsoft Excel (including VLOOKUPs, functions, and data cleanup).
Working knowledge of query languages such as SQL.
Advanced experience writing and debugging rules using RegEx.
Familiarity with text analysis, NLP, or machine learning fundamentals.
Experience performing data analysis using tools such as Excel and/or Python.
Comfort working with high-volume, repetitive tasks while maintaining accuracy and focus.
Ability to follow complex instructions, navigate ambiguity, and work independently.
Strong sense of urgency, organization, and time management.
Reliable laptop and stable internet access.

Data Analyst, Arabic Dialects

Key skills