Isha M.

Key Skills

Software

Mercor

Mindrift

OneForma

Micro1

Toloka

Telus

Appen

Clickworker

Other

CVAT

Scale AI

Roboflow

Top Subject Matter

QA/ Prompt Engineer

AI Model Training & Evaluation

Web Developer/ Designer

Top Data Types

Computer Code Programming

Text

Image

Top Task Types

RLHF

Fine-tuning

Computer Programming/Coding

Prompt + Response Writing (SFT)

Classification

Text Generation

Question Answering

Text Summarization

Evaluation/Rating

Data Collection

Bounding Box

Freelancer Overview

I have 3+ years of experience in AI training, data labeling, RLHF, SFT, prompt engineering, and quality assurance for Large Language Models (LLMs). I have worked on evaluating AI responses, ranking outputs, data annotation, content review, and model improvement projects while ensuring high-quality training data and guideline compliance. My background in Web development and QA helps me analyze complex tasks accurately, maintain consistency, and deliver high-quality results. I am detail-oriented, quick to learn new guidelines, and experienced in working on large-scale AI training and data annotation projects.

Labeling Experience

AI Training/Data Labeling

AudioRLHF

Evaluated and labeled audio data for AI model training using RLHF. Assessed speech quality, transcription

2024 - 2026

AI Training/Data Labeling

Computer Code ProgrammingRLHF

Evaluated, reviewed, and improved AI-generated code outputs using RLHF techniques. Analyzed code quality, correctness, logic, and performance across multiple programming languages, provided detailed feedback, ranked model responses, identified bugs, and contributed to creating high-quality training datasets to enhance AI coding models.

2024 - 2026

AI Model Training & Evaluation

ImageRLHF

Performed image annotation, classification, and quality evaluation to support AI model training through RLHF. Reviewed and labeled image-based data, assessed model outputs, ensured annotation accuracy, and provided feedback to improve model performance and reliability.

2024 - 2026

AI Training/Data Labeling

DocumentRLHF

Reviewed, annotated, and evaluated document-based data for AI model training using RLHF. Assessed content quality, accuracy, relevance, and consistency, providing feedback to improve model performance and training data quality.

2024 - 2025

AI Training/Data Labeling

TextRLHF

Trained and evaluated Large Language Models (LLMs) using RLHF by reviewing AI-generated responses, ranking outputs, creating prompts, and providing quality feedback. Contributed to data annotation, model evaluation, and quality assurance to improve AI accuracy, safety, and performance.

2024 - 2025

Education

Work History