Karnati S.

Key Skills

Software

Clickworker

CVAT

Data Annotation Tech

Lionbridge

Mercor

Scale AI

Toloka

Micro1

Mindrift

Remotasks

Top Subject Matter

Coding Expert- LLM Fine Tuning

Mathematics - LLM RLHF

Data Labelling - CVAT TOOL

Top Data Types

Image

Video

Document

Top Task Types

Bounding Box

RLHF

Evaluation/Rating

Computer Programming/Coding

Freelancer Overview

I worked as a Research Mathematics Analyst at Turing, where I contributed to AI training data creation and quality evaluation for advanced mathematical reasoning tasks. My work involved developing and reviewing mathematics problems, validating solutions, identifying reasoning errors, and ensuring high-quality annotations for training and evaluating large language models. I also performed prompt engineering tasks to improve model performance and assessed AI-generated responses for accuracy, clarity, and adherence to project guidelines. My key skills include mathematics, LaTeX, and prompt engineering, which enable me to create well-structured training data and accurately annotate complex mathematical content. I am experienced in writing and formatting mathematical expressions in LaTeX, evaluating model outputs, following detailed annotation guidelines, and maintaining high standards of consistency and quality in AI training datasets. In addition to my work at Turing, I have experience with data annotation, dataset preparation, and AI model evaluation across machine learning and natural language processing projects. I have worked with annotation tools such as CVAT, performed quality assurance on labeled datasets, and developed AI systems involving computer vision, semantic similarity scoring, and automated assessment. My background in Mathematics, Machine Learning, and Python, combined with experience in data validation and AI training workflows, enables me to produce accurate, consistent, and high-quality training data for AI applications.

Labeling Experience

Research Mathematics Analyst at Turing

DocumentRLHF

I have worked as a Research Mathematics Analyst at Turing, where I contributed to the development and evaluation of high-quality AI training data, particularly for mathematical reasoning and problem-solving tasks. My responsibilities included creating, reviewing, and validating complex mathematics problems, verifying solutions for correctness and clarity, and ensuring that training datasets met rigorous quality standards. This role required strong analytical skills, attention to detail, and the ability to identify subtle errors in mathematical reasoning, helping improve the performance of AI models on advanced quantitative tasks.

2024 - 2025

Education

Work History