I will provide ai data evaluation, annotation, prompt for llm


About this gig
Are you building, training, or fine-tuning an AI model and need accurate, high-quality evaluation and annotation?
I provide expert AI data evaluation and annotation across four high-demand domains cybersecurity, backend code, STEM reasoning, and prompt fact-checking to help AI teams build more reliable and accurate models.
What I offer:
- Prompt response evaluation for accuracy, relevance & alignment
- Python and backend code verification and logic review
- STEM and mathematical reasoning assessment
- Cybersecurity threat logic and attack scenario analysis
- Prompt rewriting and AI fact-checking
- Custom dataset annotation for LLM fine-tuning
Why choose me:
- Detail-oriented with fast, reliable turnaround
- Experience across multiple AI evaluation domains
- High-volume projects welcome
- Custom datasets available on request
- Accurate scoring with structured feedback
Whether you need 50 or 500+ entries evaluated, I deliver clean, structured, and well-documented results your AI team can immediately use.
Let's build smarter AI together order now.
Get to know Thiago martins
Multimodal AI Specialist and Advanced Prompt Engineer for LLMs and LAMs
- FromBrazil
- Member sinceJun 2026
- Avg. response time1 hour
- Last deliveryabout 14 hours
Languages
English, Spanish, German, French, Italian
Other AI Development Services I Offer
FAQ
What types of AI evaluation tasks can you handle?
I cover four key domains cybersecurity and threat logic, Python and backend code verification, STEM and mathematical reasoning, and prompt rewriting with fact-checking for LLM alignment.
How many entries can you evaluate per order?
Basic covers up to 50 entries, Standard up to 200, and Premium covers 500 or more. For larger custom volumes, message me before ordering so I can create a custom offer.
What format will the evaluated data be delivered in?
I deliver results in a clean, structured format such as CSV, Excel, or Google Sheets, with scores, labels, and detailed feedback notes ready for your training pipeline.
