Greater Hamburg Area
Hi! I’m a multilingual (English, Dutch, Turkish, and Indonesian), motivated, and detail-oriented professional with a strong track record in sales, AI Data Annotation, data handling, interior architecture, and customer relationship management. I have extensive work experiences in Indonesia, Turkey, Belgium, and Ireland, with strong local language skills and a deep understanding of local cultures. My work focuses on ensuring data accuracy, optimizing efficiency, developing creative concepts and building trust with clients.
As AI UGC Marketing Strategist at Pingo AI, my responsibilities are: • Research & produce contents for TikTok, IG, and YouTube mainly in languages spoken in Belgium (NL, FR & DE). • Prompt development and adapt Pingo AI features into regional hooks for specific Belgian audiences. • Use local trends and data and partner with international AI UGC creators to drive reach and app conversions. Achievement: Delivered 12.5m views and 500k engagements in just 2 months, with 99.3% of reach coming from non-followers, demonstrating high virality and effective Belgium regional targeting (Data per 22 June 2026)
As a Generative AI Annotator (Generalist) at Outlier, my responsibilities are: • Analize and label written content, visual materials, and AI-generated outputs across English, Dutch, Turkish, and Indonesian • Deliver and organized feedback to enhance model accuracy and uphold quality standards in artistic prompt writing, text, video and photo datasets • Perform quality control by reviewing, refining, and harmonizing annotations to ensure reliable, high-standard training data for artistic oriented AI systems in all supported languages Achievement: I maintained company’s quality target (1.71/2.00 rating) per 24 March2026.
As a Generative AI Annotator (Specialist in architecture), my responsibilities are: • Evaluate and annotate text, images, and model outputs with speciality in architecture • Review, compare, and rank AI responses or peer annotations, providing structured feedback to improve model performance and maintain quality in architectural datasets • Conduct quality assurance by verifying, correcting, and standardizing annotations, ensuring high-quality training data for architecture-focused AI systems Achievement: I maintained company’s quality target (2.0 rating) per 31 May 2025.
As an AI Safety Annotator at Meta, my responsibilities are: • Annotate data with predefined annotation guidelines • Evaluate the quality of existing data as well as the output of machine learning & internal tools • Develop, implement & maintain guidelines • Perform basic research to annotate accurately • Provide insights regarding observed patterns in the annotated data Achievement: I passed 6 months probation with 99,29% for quality review as of June 16, 2025 and I maintained my quality above 90% up until 9 January 2026 as the project required target.
As a Planning, HR, Data and Information PPLN Brussels my responsibilities are: • Prepare reports and create correspondences with the central Indonesian government • Conducted data collection, compilation, and verification to ensure accuracy • Established relationships with local governments and Indonesian communities in Belgium and Luxembourg Achievement: We overreached our target (50%) with 53.4% result of participation in the presidential and House of Representatives in Belgium and Luxembourg.