Amit N.

Key Skills

Software

Label Studio

Prodigy

Other

Top Subject Matter

Conversational AI training data

Evaluation Domain Expertise

and data quality assurance

Top Data Types

Text

Top Task Types

RLHF

Fine-tuning

Freelancer Overview

AI Data Specialist / ML Trainer. Core strengths include Label Studio, Prodigy, and Other. AI-training focus includes data types such as Text and labeling workflows including RLHF and Entity (NER).

Labeling Experience

Data Annotation Specialist / NLP Trainer

Label StudioText

Annotated 100,000+ text samples for sentiment analysis, named entity recognition, and intent classification, applying organization-wide guidelines and quality rubrics. Performed model output evaluation and provided structured feedback, including identification of edge cases and failure modes for robustness. Participated in red-teaming exercises to test model safety and robustness and achieved 98% inter-annotator agreement on complex NLP tasks. • Labeled sentiment, entities (NER), and intents from text • Developed annotation guidelines and quality rubrics • Evaluated model outputs and supplied improvement feedback • Conducted red-teaming and achieved high inter-annotator agreement

Present

AI Data Specialist / ML Trainer

Label StudioTextRLHFFine-tuning

Created and curated 50,000+ high-quality conversational AI training examples to improve response accuracy through iterative dataset refinement. Designed and implemented evaluation frameworks across helpfulness, accuracy, and safety, and used A/B testing plus structured feedback to guide ongoing improvements. Reduced annotation errors by 40% through established quality control processes and trained a team of five junior annotators on quality standards. • Curated training examples for conversational AI models • Built evaluation frameworks to score multiple performance dimensions • Performed A/B testing and delivered iterative model feedback • Trained junior annotators and enforced QC to reduce errors

Present

Education

Work History