I deliver excellent customer service on the retail shop floor, handling high volumes of enquiries in French, English, and Arabic with empathy and efficiency. Skilled in product support and culturally sensitive communication, I adapt quickly to diverse environments and thrive in fast-paced retail settings.
AI Language Trainer is responsible for training and improving the performance of AI language models, such as chatbots, virtual assistants, and machine translation systems. Their role involves working with large datasets, refining language understanding, and ensuring Al systems respond accurately and naturally in different languages. Key Responsibilities: Data Annotation & Labeling: Tagging and categorizing text data to train Al models. Providing correct translations, grammar corrections, or sentiment analysis. Natural Language Processing (NLP) Support: Assisting in refining Al's ability to understand human language nuances. Training models to recognize slang, idioms, and contextual meanings. Quality Assurance & Evaluation: Reviewing Al-generated responses to ensure they align with human-like communication. Providing feedback to improve model accuracy. Content Generation & Enhancement: Creating high-quality sample dialogues and conversations for Al models. Enhancing Al's multilingual capabilities for better user interaction. Testing & Debugging AI Models: Identifying and correcting errors in Al responses. Suggesting improvements in Al training datasets. Linguistic & Cultural Adaptation: Ensuring AI models understand cultural contexts and local dialects. Helping AI avoid bias or offensive language.
Efficiently and effectively managed the customer support and resolution desk, where a resolution of 50 + weekly customer inquiries in French, Arabic and English via email, phone, and chat, were handled. Consistently achieved a minimum rating of 89% average CSAT score per month across all supported languages (English, French and Arabic). Utilized (FCR) first call resolution strategies, to resolve at least 80% of customer inquiries on the first interaction, regardless of language (English, French and Arabic) Optimized service processes, by maintaining an average response time of under 2 minutes for live channels and under 24 hours for email correspondence, calls or tickets. Achieved a QA audit score of at least 92% referenced on inbound/outbound calls/chat reviews; for accuracy, empathy, and professionalism. Collaborated with team members, to improve client retention by addressing feedback and escalating complex issues and closing an average of 30 customer tickets per day with no more than 3 re-opened cases and kept escalations at 5% monthly across all channels.
Functioned with a team, in controlling logistics, inventory and shipping, to ensure goods ordered, were packed and delivered to customers within the specified TAT. Responsible for tracking data with the use of Microsoft Excel and other CRM tools and ensuring movement of goods from warehouse to delivery remains optimal.
Organized 15 workshops with the French Embassy to promote cultural exchange. Translated the university anthem into French, fostering (DEI) for international students.
Tutored 37 students in Arabic and French and improving their language proficiency by tailoring lessons to individual needs, whereby 80% of students went from beginners to intermediate and quickly grew to become proficient, in Arabic and English. Developed cultural awareness workshops to enhance communication skills for diverse learners.