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M

Mohit Gondaliya

AI Evaluator – Prompt Engineering and RLHF Evaluation

India flagGujarat, India
$15.00/hrExpertMercorScale AISuperannotate

Key Skills

Software

MercorMercor
Scale AIScale AI
SuperAnnotateSuperAnnotate
Other

Top Subject Matter

AI Model Evaluation/LLMs
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

ImageImage
TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

Text Summarization
RLHF
Polygon

Freelancer Overview

AI Evaluator – Prompt Engineering and RLHF Evaluation. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

ExpertHindiEnglish

Labeling Experience

AI Evaluator – Prompt Engineering and RLHF Evaluation

OtherText
As an AI Evaluator, I assessed the outputs of large language models (LLMs) using reinforcement learning from human feedback (RLHF) techniques. My work involved prompt engineering, AI model evaluation, and structured data annotation to ensure high-quality AI-driven solutions. I applied strong critical thinking and maintained ethical standards in all evaluations. • Evaluated LLM-generated responses for accuracy, coherence, and relevance • Authored structured feedback and quality ratings on diverse language tasks • Applied RLHF and prompt engineering methodologies to improve model performance • Engaged in data annotation to support ongoing AI training and evaluation efforts

As an AI Evaluator, I assessed the outputs of large language models (LLMs) using reinforcement learning from human feedback (RLHF) techniques. My work involved prompt engineering, AI model evaluation, and structured data annotation to ensure high-quality AI-driven solutions. I applied strong critical thinking and maintained ethical standards in all evaluations. • Evaluated LLM-generated responses for accuracy, coherence, and relevance • Authored structured feedback and quality ratings on diverse language tasks • Applied RLHF and prompt engineering methodologies to improve model performance • Engaged in data annotation to support ongoing AI training and evaluation efforts

2021 - Present

AI Training Data Annotation for Code & Technical Content

TextRLHF
Worked on AI training data preparation and annotation, focused on technical and code-related datasets. The project involved reviewing AI-generated outputs, labeling text data, and evaluating the correctness and relevance of responses related to software development topics such as JavaScript, React, APIs, and system design. Key responsibilities included classifying responses based on accuracy, identifying incorrect or incomplete outputs, and providing structured feedback to improve model performance. I also worked on prompt-response evaluation, ensuring that training examples followed clear instructions and met the quality standards required for AI model training. The project required strong attention to detail, technical understanding of programming concepts, and adherence to strict quality guidelines. All annotations were reviewed against project standards to ensure consistency, accuracy, and usefulness for downstream AI model training and evaluation.

Worked on AI training data preparation and annotation, focused on technical and code-related datasets. The project involved reviewing AI-generated outputs, labeling text data, and evaluating the correctness and relevance of responses related to software development topics such as JavaScript, React, APIs, and system design. Key responsibilities included classifying responses based on accuracy, identifying incorrect or incomplete outputs, and providing structured feedback to improve model performance. I also worked on prompt-response evaluation, ensuring that training examples followed clear instructions and met the quality standards required for AI model training. The project required strong attention to detail, technical understanding of programming concepts, and adherence to strict quality guidelines. All annotations were reviewed against project standards to ensure consistency, accuracy, and usefulness for downstream AI model training and evaluation.

2023 - 2025

Education

P

Pacific School Of Engineering (GTU)

Bachelor of Engineering, Computer Engineering

Bachelor of Engineering
2018 - 2022
G

Gyandeep Vidyalaya

Higher Secondary Certificate, Science

Higher Secondary Certificate
2016 - 2018

Work History

N

NY Solutions

Senior Frontend Developer

Surat
2021 - Present
E

Elite Core Web Solutions

Frontend Developer

Surat
2020 - 2021