Elnur M.

I work at the intersection of language and AI, helping machines understand humans better, one annotation, translation, and quality check at a time. With 3+ years of specialized experience in AI training data, localization QA, transcription, and linguistic review, I’ve contributed to large-scale projects for Meta and Google, as well as leading platforms like RWS, Appen, CrowdGen, Innodata, TaskUs and etc. My work directly impacts how AI systems read, speak, and respond across multiple languages and markets. 🤖 AI Training & Data Annotation I help AI models become smarter, more accurate, and more human-sounding through high-quality training data. ✅ Prompt writing and prompt localization for conversational AI ✅ Response evaluation, ranking, and quality scoring (RLHF) ✅ Named entity recognition (NER) and text classification ✅ Sentiment analysis and intent labeling ✅ AI output review for factual accuracy, tone, and fluency ✅ Conversational flow testing for chatbots and voice assistants 🌍 Localization QA & Linguistic Review I don’t just check if something is translated, I check if it actually works in the target language and culture. ✅ Localization Quality Assurance (LQA) with MQM/severity-based error classification ✅ UI text, marketing copy, and general public content review ✅ Style guide and client glossary compliance ✅ Cultural adaptation for Azerbaijani, Turkish, Russian, and English markets ✅ Bug reporting and structured feedback delivery via localization platforms 📝 Translation & Transcreation Fluent in 4 languages, I translate content that reads naturally — not like it was run through a machine. ✅ English → Azerbaijani, Turkish, Russian translation ✅ Transcreation for marketing, UX, and brand content ✅ Machine Translation Post-Editing (MTPE) — cleaning up MT output to sound fully human ✅ Terminology management and consistency across large projects 🎧 Transcription & Voice Accurate, detail-oriented transcription and voice work across multiple languages. ✅ Audio and video transcription in Azerbaijani, Turkish, Russian, and English ✅ Verbatim and clean-read transcription formats ✅ Voice recording for AI/NLP datasets, with natural pronunciation and clear delivery ✅ Subtitle and caption creation with time-stamping 🔍 Content Moderation & Quality Review Experienced in reviewing large volumes of content quickly and accurately against platform guidelines. ✅ Text, image, and mixed-media content moderation ✅ Guideline-based review with escalation workflows ✅ Multilingual moderation across Azerbaijani, Turkish, Russian, English 🇦🇿 Languages & Markets 🔵 Azerbaijani (Latin) — Native | Market: Azerbaijan 🔵 Turkish — Native/Bilingual | Market: Turkey 🔵 English — Professional proficiency | Market: Global 🔵 Russian — Professional proficiency | Markets: Russia, CIS regions 📍 Baku, Azerbaijan - available worldwide, fast turnaround, deadline-driven. If you’re building AI products, localizing content, or need language data you can trust, let’s work together.