Siddharth Choudhury

Key Skills

Software

Label Studio

Labelbox

CVAT

Encord

Other

Top Subject Matter

Business Domain Expertise

Operations Domain Expertise

Financial Compliance & Risk Analysis

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Trainer / Data Labeler (Freelance). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Labelbox, and CVAT. Education includes Master of Business Administration, KIIT School of Management (2024) and Bachelor of Science, Sri Sri University (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Trainer / Data Labeler (Freelance)

Label StudioText

Actively participated in OpenTrain AI projects as a freelance AI trainer and data labeler, focusing on business, operations, finance, and supply chain domains. Performed text annotation, LLM output evaluation, RLHF preference labeling, and prompt engineering for AI model improvement. Provided multilingual NLP annotation, translation evaluation, and rigorous quality assessment across various text datasets. • Evaluated AI-generated responses for accuracy, coherence, and safety in LLM output evaluation projects. • Authored domain-specific prompts and structured prompt-response pairs for model instruction and SFT datasets. • Performed RLHF preference labeling by ranking and justifying multiple AI model outputs. • Conducted multilingual data labeling and translation quality reviews in English, Odia, and Hindi.

Actively participated in OpenTrain AI projects as a freelance AI trainer and data labeler, focusing on business, operations, finance, and supply chain domains. Performed text annotation, LLM output evaluation, RLHF preference labeling, and prompt engineering for AI model improvement. Provided multilingual NLP annotation, translation evaluation, and rigorous quality assessment across various text datasets. • Evaluated AI-generated responses for accuracy, coherence, and safety in LLM output evaluation projects. • Authored domain-specific prompts and structured prompt-response pairs for model instruction and SFT datasets. • Performed RLHF preference labeling by ranking and justifying multiple AI model outputs. • Conducted multilingual data labeling and translation quality reviews in English, Odia, and Hindi.

2025 - Present

Data Analyst & Annotation-Equivalent Practitioner

TextClassification

Applied annotation-equivalent workflows in data review, classification, and labeling for structured manufacturing operations data. Conducted systematic reviews of operational, inventory, and demand datasets, tagging anomalies and trends for process optimization. Authored detailed written justifications closely aligned with standard annotation QA practices. • Classified and cleaned operational data, tagging relevant outliers and anomalies. • Produced written documentation to explain labeling decisions and root cause analyses. • Labeled and categorized inventory and demand records, assigning risk and condition flags. • Used SAP S/4HANA and Excel as primary labeling platforms for structured data reporting.

Applied annotation-equivalent workflows in data review, classification, and labeling for structured manufacturing operations data. Conducted systematic reviews of operational, inventory, and demand datasets, tagging anomalies and trends for process optimization. Authored detailed written justifications closely aligned with standard annotation QA practices. • Classified and cleaned operational data, tagging relevant outliers and anomalies. • Produced written documentation to explain labeling decisions and root cause analyses. • Labeled and categorized inventory and demand records, assigning risk and condition flags. • Used SAP S/4HANA and Excel as primary labeling platforms for structured data reporting.

2024 - 2025

Retail Supply Chain Data Analyst (Internship)

TextClassification

Undertook structured data annotation and survey data coding to support inventory management and quality assurance in retail supply chain projects. Reviewed open and closed survey responses, classified data, and flagged inconsistencies for operational correction. Labeled stock-out trends and anomalies, providing actionable insights for inventory placement improvements. • Coded and annotated over 1,200 survey responses using Excel for trend identification. • Created classification maps to distinguish shortfalls from data error cases. • Structured data into actionable categories for downstream process enhancement. • Supported binary classification and anomaly tagging tasks in retail inventory management.

Undertook structured data annotation and survey data coding to support inventory management and quality assurance in retail supply chain projects. Reviewed open and closed survey responses, classified data, and flagged inconsistencies for operational correction. Labeled stock-out trends and anomalies, providing actionable insights for inventory placement improvements. • Coded and annotated over 1,200 survey responses using Excel for trend identification. • Created classification maps to distinguish shortfalls from data error cases. • Structured data into actionable categories for downstream process enhancement. • Supported binary classification and anomaly tagging tasks in retail inventory management.

2023 - 2023

Agricultural Data Annotator & Field Analyst

TextClassification

Conducted large-scale structured data annotation and classification for agricultural and crisis management projects on behalf of state government initiatives. Labeled and reviewed data from thousands of rural households, maintaining consistency across extensive field datasets. Delivered crisis data triage and rapid annotation during flood response efforts with a focus on quality and timeliness. • Processed and tagged over 700 field data points using systematic annotation methods. • Applied consistent labeling criteria to identify demand patterns and supply chain gaps. • Executed rapid review and classification of supply data during high-pressure emergency response events. • Delivered error-free annotation and dataset preparation for government stakeholders.

Conducted large-scale structured data annotation and classification for agricultural and crisis management projects on behalf of state government initiatives. Labeled and reviewed data from thousands of rural households, maintaining consistency across extensive field datasets. Delivered crisis data triage and rapid annotation during flood response efforts with a focus on quality and timeliness. • Processed and tagged over 700 field data points using systematic annotation methods. • Applied consistent labeling criteria to identify demand patterns and supply chain gaps. • Executed rapid review and classification of supply data during high-pressure emergency response events. • Delivered error-free annotation and dataset preparation for government stakeholders.

2021 - 2022

Education

Work History