I will evaluate, annotate, and write prompts for ai models
About this Gig
Building robust AI models requires more than just vast amounts of data; it requires nuanced human judgment.
I specialize in manual AI data annotation, prompt engineering, and LLM evaluation. As generative AI models become more complex, the need for strict, human-in-the-loop validation is critical to prevent hallucinations and ensure output safety.
Core Capabilities:
- Data Labeling & Annotation: Precise categorization and structuring of text, image, and video datasets according to strict project guidelines.
- Prompt Engineering: Designing, testing, and refining complex prompts to guide AI models toward accurate, context-aware responses.
- LLM Evaluation & QA: Rigorous manual testing for model alignment, safety screening, and logic validation.
- Linguistic Analysis: Deep contextual evaluation to ensure output correctness and cultural nuance.
My Approach: My work is entirely manual. I do not use automated scripts or AI assistants to do the work. You are paying for critical human intelligence, high attention to detail, and strict adherence to your dataset guidelines. I offer fast turnarounds to keep your development sprints on track and guarantee strict confidentiality for your proprietary da
Technique:
Manual
Tagging type:
Text
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Image
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Video
FAQ
Do you use AI or automated scripts to evaluate the models?
No. All evaluation, annotation, and prompt engineering are done 100% manually. True model alignment requires critical human judgment, and I guarantee a strict human-in-the-loop approach.
Can you adapt to my specific grading rubrics or safety guidelines?
Absolutely. I strictly adhere to your project's unique guidelines, whether evaluating for safety, helpfulness, logic, or tone. Just provide your rubric, and I will follow it precisely.
What languages do you support for LLM evaluation?
I provide expert-level evaluation and localization in Arabic (including dialect nuances) and English. I ensure that cultural context and linguistic subtleties are perfectly captured.
How do you ensure the privacy of my dataset?
Confidentiality is my top priority. Your proprietary datasets, prompts, and model outputs are strictly used for your project only and will never be shared or stored after completion.

