Anwesh Anand Jha

Key Skills

Software

Data Annotation Tech

Top Subject Matter

LLM Evaluation and Language Data

RLHF - text to image, text to video, reference to image, reference to video

Data Analysis

Top Data Types

Text

Image

Video

Top Task Types

RLHF

Question Answering

Evaluation Rating

Text Summarization

Transcription

Red Teaming

Freelancer Overview

English Generalist / Data Annotation Tech. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Data Annotation Tech. Education includes Bachelor of Arts, Jawaharlal Nehru University (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Training/Data Labelling

ImageRLHF

I had done head to head evaluation for images generated through texts and refernces. For Image comparison task I have evaluated it in segments through indtruction following, visual quality, and less ai generated.

I had done head to head evaluation for images generated through texts and refernces. For Image comparison task I have evaluated it in segments through indtruction following, visual quality, and less ai generated.

2025 - Present

English Generalist / Data Annotation Tech

Data Annotation TechText

As an English Generalist at dataannotation.tech, I annotated data for machine learning models by following strict guidelines. I reviewed and corrected annotation errors to maintain high data quality and accuracy. My tasks included evaluating and rating outputs produced by language models. • Evaluated large language model (LLM) responses for accuracy and relevance. • Annotated and rated text data using provided instructions. • Identified and corrected annotation mistakes to ensure consistency. • Leveraged critical thinking to distinguish high-quality AI-generated text.

As an English Generalist at dataannotation.tech, I annotated data for machine learning models by following strict guidelines. I reviewed and corrected annotation errors to maintain high data quality and accuracy. My tasks included evaluating and rating outputs produced by language models. • Evaluated large language model (LLM) responses for accuracy and relevance. • Annotated and rated text data using provided instructions. • Identified and corrected annotation mistakes to ensure consistency. • Leveraged critical thinking to distinguish high-quality AI-generated text.

2025 - Present

Education

Work History