You will get professional Urdu text data labeling for AI training and NLP models
Rising Talent
Project details
I provide professional AI data labeling and annotation services for Urdu and Roman Urdu datasets used in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), chatbots, and Large Language Models (LLMs). High-quality labeled data is essential for building accurate, reliable, and efficient AI systems.
I manually label and organize text data with precision and consistency according to your project requirements. My work includes sentiment analysis, intent classification, topic categorization, entity tagging, and structured annotation to create training-ready datasets for AI development.
Every dataset is carefully reviewed to ensure accurate labeling, proper formatting, and consistent annotation standards. I work with AI companies, researchers, startups, and developers building chatbots, virtual assistants, multilingual NLP systems, and Urdu language models.
My goal is to deliver clean, structured, and production-ready datasets that improve AI performance, language understanding, NLP accuracy, and model evaluation. I focus on delivering reliable, high-quality data that helps build smarter and more effective AI systems.
I manually label and organize text data with precision and consistency according to your project requirements. My work includes sentiment analysis, intent classification, topic categorization, entity tagging, and structured annotation to create training-ready datasets for AI development.
Every dataset is carefully reviewed to ensure accurate labeling, proper formatting, and consistent annotation standards. I work with AI companies, researchers, startups, and developers building chatbots, virtual assistants, multilingual NLP systems, and Urdu language models.
My goal is to deliver clean, structured, and production-ready datasets that improve AI performance, language understanding, NLP accuracy, and model evaluation. I focus on delivering reliable, high-quality data that helps build smarter and more effective AI systems.
What's included $200
These options are included with the project scope.
$200
- Delivery Time 1 day
- Number of Revisions Unlimited
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About Dewan
Urdu AI/LLM, AI Eval, NLP, AI Safety, QA, Localization QA, RTL UI/UX
100%
Job Success
Bahawalpur, Pakistan - 6:59 am local time
🤖 Urdu LLM Training Data
Create high-quality Urdu & Roman Urdu LLM training datasets for NLP, chatbot evaluation, AI testing, & generative AI systems. Improve instruction following, chatbot accuracy, multilingual consistency, & contextual understanding for production deployment QA-ready LLM performance.
📂 Urdu & Roman Urdu Dataset Creation
Collect, clean, validate, structure, & annotate Urdu & Roman Urdu datasets for AI, LLMs, NLP, machine learning, & generative AI systems. Build scalable, AI-ready datasets optimized for training, fine-tuning, evaluation, multilingual consistency, production deployment QA, & AI research.
🏷️ Urdu AI Data Labeling
Label Urdu & Roman Urdu datasets for sentiment analysis, intent classification, text classification, entity recognition, chatbot evaluation, AI testing, & QA. Ensure high-quality annotation for NLP & generative AI with instruction following, chatbot accuracy, UX evaluation, multilingual consistency, & production deployment QA.
📝 Urdu SFT & Preference Dataset Annotation
Prepare SFT, instruction following, preference data, RLHF, chatbot evaluation, AI testing, & QA datasets using Urdu & Roman Urdu annotation. Improve instruction following, chatbot accuracy, & LLM alignment for production deployment QA.
🔤 Urdu Linguistic Annotation (NER, POS & Intent)
Annotate Urdu & Roman Urdu for NER, POS, intent classification, entity extraction, chatbot evaluation, AI testing, & QA. Ensure instruction following, chatbot accuracy, multilingual consistency, & production deployment QA for NLP systems.
💬 Urdu & English AI Chatbot Evaluation
Evaluate AI chatbot responses for accuracy, reasoning, instruction following, AI output quality, multilingual consistency, safety, usability, localization, & production readiness.
🧠 Urdu RLHF and Human Preference Rating
Compare & rank AI responses using structured human feedback, evaluation rubrics, & preference annotation to improve helpfulness, factual accuracy, fluency, safety, instruction following, AI quality, & LLM alignment.
📊 Urdu LLM Benchmarking
Benchmark Urdu LLMs, RAG systems, & AI models by evaluating reasoning, factual accuracy, retrieval quality, citation accuracy, instruction following, multilingual consistency, hallucination risks, safety, & overall model performance.
🛡️ Urdu AI Safety and LLM Red Teaming
Identify jailbreaks, prompt injection, hallucinations, unsafe outputs, bias, policy violations, & adversarial prompts to improve AI safety, guardrails, instruction following, & production readiness.
⚙️ Urdu Prompt Engineering
Design and optimize Urdu & Roman Urdu prompts, multilingual instructions, & prompt templates to improve instruction following, chatbot accuracy, reasoning, multilingual consistency, & AI response quality.
🎧 Urdu Voice Dataset Validation and ASR QA
Validate Urdu & Roman Urdu speech datasets for transcription accuracy, pronunciation, timestamps, segmentation, speaker consistency, and audio quality through AI testing & QA for ASR & speech AI systems.
🔖 English-to-Urdu MTPE
Post edit AI generated & machine translated content into fluent, natural, & culturally accurate Urdu. Ensure terminology, tone, context, instruction following, & multilingual consistency through MTPE QA.
🌐 Urdu Localization QA and Proofreading
Review Urdu translations for websites, apps, software, & digital products to ensure linguistic accuracy, multilingual consistency, terminology, formatting, UX evaluation, & QA.
📱 Urdu RTL UI/UX Testing
Test Urdu RTL interfaces for layout, alignment, readability, navigation, localization, UX evaluation, AI testing, & QA across websites, apps, & software before production deployment.
✍️ Urdu UX Writing and Microcopy
Write clear, natural Urdu buttons, labels, onboarding flows, notifications, tooltips, & error messages that improve usability, clarity, UX evaluation.
💻 Web and Mobile App QA Testing
Test websites, mobile apps, SaaS platforms, AI applications, & digital products for functionality, usability, responsiveness, compatibility, navigation, AI quality assurance, localization.
🔍 UX Audits and Usability Testing
Analyze user journeys, navigation, interaction flows, & usability to identify friction points. Deliver UX evaluation & actionable recommendations that improve user experience.
🌍 Multilingual Translation
Professional multilingual human translation with accurate terminology, natural fluency, cultural adaptation, and localization quality.
Steps for completing your project
After purchasing the project, send requirements so Dewan can start the project.
Delivery time starts when Dewan receives requirements from you.
Dewan works on your project following the steps below.
Revisions may occur after the delivery date.
Final step.
I will deliver the final draft.