You will get LLM Output Evaluation and RLHF Feedback Annotation
Project details
I provide professional LLM output evaluation and RLHF feedback annotation for AI teams building safer and more accurate language models.
As a certified AI Evaluation Specialist (micro1), I assess AI responses using structured rubrics covering accuracy,
instruction-following, safety alignment, tone, fluency, and conciseness — the exact criteria used in production RLHF pipelines.
My evaluation experience includes assessing LLM outputs for quality, detecting bias and harmful content, preference labeling for RLHF training, and red-teaming AI responses for safety issues.
I currently provide AI evaluation services for CNTXT AI (UAE) supporting real model training pipelines — so I understand production-level standards and consistency requirements.
Microsoft Certified in Azure AI Fundamentals with hands-on experience in NLP and
generative AI workflows.
If your AI model needs reliable, consistent, and expert human evaluation — let's talk.
As a certified AI Evaluation Specialist (micro1), I assess AI responses using structured rubrics covering accuracy,
instruction-following, safety alignment, tone, fluency, and conciseness — the exact criteria used in production RLHF pipelines.
My evaluation experience includes assessing LLM outputs for quality, detecting bias and harmful content, preference labeling for RLHF training, and red-teaming AI responses for safety issues.
I currently provide AI evaluation services for CNTXT AI (UAE) supporting real model training pipelines — so I understand production-level standards and consistency requirements.
Microsoft Certified in Azure AI Fundamentals with hands-on experience in NLP and
generative AI workflows.
If your AI model needs reliable, consistent, and expert human evaluation — let's talk.
What's included
| Service Tiers |
Starter
$40
|
Standard
$90
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Muhammad Ajmal
AI Data Annotator | AI Evaluation | Computer Vision | Video Annotation
Lahore, Pakistan - 4:49 pm local time
I'm an AI Data Annotator and AI Evaluation Specialist with over 2 years of professional experience supporting computer vision and machine learning projects, including OCR workflows. I help AI teams build reliable datasets through precise annotation, model output validation, and quality assurance.
My expertise includes:
• Image and video annotation
• Bounding box and polygon annotation
• Computer vision dataset preparation
• OCR validation and ground-truth verification
• AI model evaluation and quality assurance
• Annotation review and dataset validation
I currently work with CNTXT AI (UAE) and have previously worked with EyeTally.AI (USA) and Machine Learning 1, contributing to computer vision annotation, frame-by-frame video labeling, OCR validation, AI model evaluation, and dataset quality assurance. At Machine Learning 1, I also coordinated a team of annotators, reviewed their work, and ensured high-quality deliverables before submission.
I'm experienced with CVAT, Roboflow, VGG Image Annotator, OCR validation workflows, and AI annotation platforms, and I quickly adapt to new tools and project guidelines while maintaining accuracy and consistency.
Certifications:
• Microsoft Certified: Azure AI Fundamentals (AI-900)
• AI Evaluation Specialist (micro1)
• NAVTTC Artificial Intelligence (Machine Learning & Deep Learning)
Why clients work with me:
• High annotation accuracy
• Strong attention to detail
• Reliable quality assurance
• Clear communication
• On-time delivery
• Quick adaptation to new guidelines and tools
Whether you need image annotation, video annotation, computer vision datasets, OCR validation, AI model evaluation, or annotation QA, I'm committed to delivering accurate, reliable results that help build better-performing AI systems.
Let's discuss how I can support your next AI project.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Ajmal can start the project.
Delivery time starts when Muhammad Ajmal receives requirements from you.
Muhammad Ajmal works on your project following the steps below.
Revisions may occur after the delivery date.
Review Requirements
Review client evaluation criteria, rubrics, and sample AI responses before starting work.
Setup Evaluation Framework
Organize evaluation rubrics and scoring criteria aligned with client requirements.