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Linguistic AI Auditor (Arabic Egypt)

Job Overview

Location

Cairo

Job Type

Full-time

Category

Product Management

Date Posted

May 23, 2026

Full Job Description

đź“‹ Description

  • • Audit and evaluate the quality of AI-generated conversational responses in Arabic (Egyptian dialect) to ensure linguistic accuracy, cultural appropriateness, and contextual relevance.
  • • Assess chatbot interactions based on predefined core dimensions including fluency, coherence, tone, grammar, semantic fidelity, and adherence to regional linguistic norms.
  • • Provide detailed, constructive feedback on AI outputs to identify errors, inconsistencies, or unnatural phrasing that impact user experience.
  • • Apply deep knowledge of Egyptian Arabic syntax, idioms, colloquialisms, and sociolinguistic nuances to judge authenticity and naturalness of AI responses.
  • • Follow standardized evaluation rubrics and quality guidelines provided by RWS to maintain consistency across all assessments.
  • • Flag content that is misleading, offensive, culturally insensitive, or linguistically inappropriate for Egyptian users.
  • • Participate in periodic calibration sessions to align evaluation standards with project leads and other auditors.
  • • Document observations and patterns in AI performance to support iterative improvements in model training and fine-tuning.
  • • Work independently with minimal supervision, meeting weekly output targets while maintaining high accuracy and attention to detail.
  • • Manage time flexibly to complete a minimum of 10 hours of auditing work per week, choosing work hours that suit personal schedule.
  • • Ensure all evaluations are conducted with confidentiality and in compliance with data handling protocols for AI training data.
  • • Contribute to the enhancement of conversational AI systems used in customer service, virtual assistants, and multilingual chatbot applications.
  • • Collaborate with a global team of linguists and AI specialists to refine evaluation methodologies and improve output quality across dialects.
  • • Maintain consistent quality standards across diverse conversational contexts including customer support, informational queries, and casual dialogue.
  • • Receive and implement feedback on your evaluations to continuously improve assessment precision and alignment with project goals.
  • • Be eligible for future opportunities to participate in similar linguistic AI projects with RWS upon successful completion of initial assignments.

🎯 Requirements

  • • Native or near-native proficiency in Arabic (Egyptian dialect)
  • • Academic degree in Translation, Linguistics, Arabic Language, or a closely related field
  • • Demonstrated ability to analyze and critique written language with precision and cultural awareness
  • • Reliable internet connection and ability to use web-based evaluation platforms
  • • Availability to work a minimum of 10 hours per week on a flexible schedule
  • • Strong attention to detail and consistency in applying evaluation criteria

🏖️ Benefits

  • • Competitive hourly rate of 18.34 USD
  • • Fully flexible work schedule — work anytime, day or night
  • • Opportunity to be invited to a vetted pool for future linguistic AI projects
  • • Participation in a cutting-edge AI quality assurance initiative

Skills & Technologies

Design
Remote

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About RWS Holdings plc

RWS Holdings plc is a global provider of intellectual property support services, translation, and localization solutions. Founded in 1958 and headquartered in the United Kingdom, the company serves law firms, corporations, and government agencies with patent translation, filing, and search services, as well as technical documentation and life-sciences linguistic support. RWS operates through divisions including PatBase, Moravia, and LUZ, combining AI-driven technology with expert linguists and subject-matter specialists. The group maintains offices across Europe, the Americas, and Asia-Pacific, enabling clients to secure, translate, and manage multilingual content and IP assets efficiently in regulated markets.

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