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Lightcast is seeking detail-oriented, data-driven professionals with strong Arabic language skills to support the expansion of our global product features. In this role, you will help ensure we deliver accurate, high-quality data to our customers by analyzing multilingual outputs, improving classification performance, and supporting taxonomy translation and parser development.
Job Responsibility:
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
Requirements:
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