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I will test your ai model for hallucinations, accuracy, safety and quality
Certified Data Annotator, Computer Vision, ML and AI Data Training Expert
This is Onidul. I'm a certified data Annotator and AI data Training Expert. I works at Data Preparing, Management, and Train data at model ready format. Data collecting, cleaning and Data Annotation, ...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Before releasing your AI system, you need to know where it fails.
I will manually test and evaluate your AI model, chatbot, LLM or AI-powered application to identify response quality issues, hallucinations, instruction-following failures and other edge cases.
My evaluation can cover:
Hallucination and factuality checks
Accuracy and relevance
Instruction following
Reasoning and consistency
Prompt-response behavior
Edge-case testing
Safety and inappropriate-output checks
Response ranking and comparison
Error categorization
UX and response-quality feedback
You provide the model, test environment, prompts or evaluation criteria. I test the system, document the results and return structured findings your development team can act on.
Useful for:
AI startups LLM developers ML engineers AI agencies chatbot developers SaaS companies AI research teams
For larger projects, I can build a repeatable evaluation workflow and process batches of test cases with structured QA.
Start with a small test batch so you can verify the evaluation quality before scaling.
