Annal Nesika U.

Key Skills

Software

No software listed

Top Subject Matter

Medical LLM training

RLHF feedback

and medical fact checking

Top Data Types

Text

Document

Top Task Types

RLHF

Freelancer Overview

Medical AI optimization and RLHF medical expert (training/response evaluation). Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include N and A. Education includes Bachelor of Medicine, Bachelor of Surgery, Government Medical College, Coimbatore (2023). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Medical AI optimization and RLHF medical expert (training/response evaluation)

TextRLHF

Provided medical AI training support focused on RLHF-style feedback and response quality improvement for healthcare LLMs. Performed medical fact-checking and “hallucination” detection for clinical-style medical text to reduce safety risks. Supported evaluation of helpfulness and tone of AI responses for professional and patient-facing contexts. • Identified inaccuracies in AI-generated medical advice using clinical knowledge • Verified outputs against international medical terminology and guidelines • Assessed response helpfulness and tone for user intent alignment • Delivered clinically safety-focused feedback for global healthcare AI models

2023 - Present

Medical AI response evaluation / clinical content validator (skills-based experience)

Text

Conducted evidence-based medical content review and response evaluation using strong English comprehension and clinical reasoning. Applied quality-checking skills to improve clarity, accuracy, and safety of medical information in AI-assisted workflows. Used prompt writing and refinement to guide structured medical outputs and support consistent high-accuracy evaluation. • Wrote and refined clinical prompts for structured responses • Evaluated outputs for evidence alignment and clinical correctness • Detected subtle errors in medical narratives before finalization • Ensured clarity and safety in medical communication

2018 - Present

Education

Work History