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 & Evaluation Specialist |Computer Vision| CVAT |RLHF
Lahore, Pakistan - 2:40 pm local time
My work spans computer vision annotation (CVAT, Roboflow, VGG Annotator), LLM output evaluation and RLHF feedback, and multi-modal data labeling for object detection, semantic segmentation, and video frame analysis. I currently annotate retail footage frame-by-frame for a US-based computer vision company — so I understand production-level quality standards and tight turnaround expectations.
On the evaluation side, I hold an AI Evaluation Specialist credential (micro1) and have experience assessing LLM responses for accuracy, tone, instruction-following, and safety alignment.
I am also Microsoft Certified in Azure AI Fundamentals — covering ML, Computer Vision, NLP, and Generative AI on Azure.
My technical background (B.S. Physics, GC University Faisalabad) means I can work with structured data, edge cases, and ambiguous labeling guidelines — and flag inconsistencies rather than guess.
I'm available for part-time contracts, fixed-price annotation tasks, and ongoing QA/evaluation engagements. If you need a reliable annotator who treats your data like a first-party asset, let's talk.
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.