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Chowturi Kaladhar Reddy

Chowturi Kaladhar Reddy

Data Annotator - AI and Machine Learning

INDIA flag
Nellore, India
$10.00/hrExpertLabelboxData Annotation Tech

Key Skills

Software

LabelboxLabelbox
Data Annotation TechData Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

TextText

Top Label Types

Classification
Evaluation Rating

Freelancer Overview

I am a detail-oriented data annotator with hands-on experience supporting AI model training through high-quality data labeling and validation. At Scale AI, I used Labelbox to accurately annotate and classify large volumes of structured and unstructured data, ensuring strict adherence to project guidelines and quality benchmarks. My background also includes evaluating and improving AI-generated responses in mathematics, physics, and chemistry, where I focused on accuracy, clarity, and conceptual correctness. I have contributed to projects that enhance model robustness, such as curating edge-case datasets and developing evaluation metrics and reusable rubrics. My strengths include strong analytical skills, attention to detail, and a commitment to maintaining data integrity in fast-paced, guideline-driven environments.

ExpertEnglishTelugu

Labeling Experience

Labelbox

Data Annotator - Scale AI

LabelboxTextClassification
As a Data Annotator at Scale AI, I accurately labeled and validated large volumes of textual data using Labelbox to train AI and machine-learning models. I ensured each annotation adhered to stringent project-specific guidelines and benchmarks to maintain high data quality. Part of my responsibilities included rigorous quality checks and correction of dataset inconsistencies, which improved annotation reliability. • Performed detailed annotation and classification on various structured and unstructured text datasets. • Utilized Labelbox for guideline-driven data labeling and continuous quality control. • Systematically reviewed annotations to identify and rectify errors, edge cases, and inconsistencies. • Collaborated with team members to ensure data met model training requirements and high-quality standards.

As a Data Annotator at Scale AI, I accurately labeled and validated large volumes of textual data using Labelbox to train AI and machine-learning models. I ensured each annotation adhered to stringent project-specific guidelines and benchmarks to maintain high data quality. Part of my responsibilities included rigorous quality checks and correction of dataset inconsistencies, which improved annotation reliability. • Performed detailed annotation and classification on various structured and unstructured text datasets. • Utilized Labelbox for guideline-driven data labeling and continuous quality control. • Systematically reviewed annotations to identify and rectify errors, edge cases, and inconsistencies. • Collaborated with team members to ensure data met model training requirements and high-quality standards.

2024
Data Annotation Tech

Subject Matter Expert (SME) - Outlier AI

Data Annotation TechTextEvaluation Rating
As a Subject Matter Expert (SME) at Outlier AI, I specialized in reviewing and improving AI-generated responses in Mathematics, Physics, and Chemistry. My role involved evaluating, validating, and ensuring the conceptual correctness, clarity, and accuracy of model outputs. I provided domain expertise to guide the refinement and iterative improvement of AI systems focused on educational content. • Assessed and rated AI-generated answers for accuracy and instructional quality. • Gave precise feedback to improve clarity and conceptual soundness of model responses. • Validated responses against subject matter guidelines and curriculum standards. • Contributed to quality assurance processes for AI model development and evaluation.

As a Subject Matter Expert (SME) at Outlier AI, I specialized in reviewing and improving AI-generated responses in Mathematics, Physics, and Chemistry. My role involved evaluating, validating, and ensuring the conceptual correctness, clarity, and accuracy of model outputs. I provided domain expertise to guide the refinement and iterative improvement of AI systems focused on educational content. • Assessed and rated AI-generated answers for accuracy and instructional quality. • Gave precise feedback to improve clarity and conceptual soundness of model responses. • Validated responses against subject matter guidelines and curriculum standards. • Contributed to quality assurance processes for AI model development and evaluation.

2023 - 2023

Education

R

RMK Engineering College

Bachelor of Technology, Electrical and Electronics Engineering

Bachelor of Technology
2019 - 2023
N

Narayana College

Intermediate, Mathematics, Physics, and Chemistry

Intermediate
2017 - 2019

Work History

F

Freelance

Math Content Specialist

Nellore
2022 - 2023