Dev Choudhary

Key Skills

Software

Other

AWS SageMaker

Clickworker

Micro1

Appen

Telus

Top Subject Matter

Computer Vision

E-commerce Product Data & Taxonomy

Generative AI

Top Data Types

Image

Video

Text

Document

Top Task Types

Segmentation

Prompt Response Writing SFT

Bounding Box

Polygon

Point Key Point

Object Detection

Text Generation

Text Summarization

RLHF

Fine Tuning

Evaluation Rating

Data Collection

Freelancer Overview

Advanced AI Data Trainer. Core strengths include Other and AWS SageMaker. Education includes Bachelor of Technology, Quantum University (2022). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Segmentation and Prompt + Response Writing (SFT).

Labeling Experience

Advanced AI Data Trainer

OtherImageSegmentation

Delivered over 5,000 semantic segmentation masks for computer vision object detection projects. Labeled 3,000+ social media images for product and entity extraction for e-commerce AI datasets. Created 2,000+ video/image prompts with pixel-perfect precision for generative AI training. • Used Invisible Marketplace and Parimango/Multimango for sophisticated annotation tasks • Ensured 92% first-pass quality approval • Audited 10,000+ annotation tasks using Airtable • Supported new annotators and standardized quality procedures

Delivered over 5,000 semantic segmentation masks for computer vision object detection projects. Labeled 3,000+ social media images for product and entity extraction for e-commerce AI datasets. Created 2,000+ video/image prompts with pixel-perfect precision for generative AI training. • Used Invisible Marketplace and Parimango/Multimango for sophisticated annotation tasks • Ensured 92% first-pass quality approval • Audited 10,000+ annotation tasks using Airtable • Supported new annotators and standardized quality procedures

2025 - Present

Senior Associate – AI Data Annotation & Quality Assurance

OtherVideoSegmentation

Annotated more than 15,000 video frames utilizing the SRT platform for instance segmentation. Developed and maintained dashboards in Excel and Google Sheets to track annotation accuracy and consensus. Authored over 50 data quality SOPs to standardize annotation guidelines and meet ML project requirements. • Conducted team shadowing and feedback cycles • Participated in QA reviews via Microsoft Teams • Improved annotation standards for a 20-person distributed team • Consistently met enterprise quality benchmarks

Annotated more than 15,000 video frames utilizing the SRT platform for instance segmentation. Developed and maintained dashboards in Excel and Google Sheets to track annotation accuracy and consensus. Authored over 50 data quality SOPs to standardize annotation guidelines and meet ML project requirements. • Conducted team shadowing and feedback cycles • Participated in QA reviews via Microsoft Teams • Improved annotation standards for a 20-person distributed team • Consistently met enterprise quality benchmarks

2024 - 2025

Associate Analyst – AI Data Annotation

Aws SagemakerTextPrompt Response Writing SFT

Created more than 8,000 prompt-response pairs for large language model fine-tuning with AWS SageMaker. Analyzed over 4,000 ML experiments in Looker Studio to optimize and streamline annotation workflows. Delivered advanced Google Sheets dashboards providing automated validation for annotation tasks. • Led Google Meet calibration sessions for annotation quality alignment • Supported 15+ internal stakeholder teams • Enabled workflow automation for distributed annotators • Maintained robust validation metrics for data quality

Created more than 8,000 prompt-response pairs for large language model fine-tuning with AWS SageMaker. Analyzed over 4,000 ML experiments in Looker Studio to optimize and streamline annotation workflows. Delivered advanced Google Sheets dashboards providing automated validation for annotation tasks. • Led Google Meet calibration sessions for annotation quality alignment • Supported 15+ internal stakeholder teams • Enabled workflow automation for distributed annotators • Maintained robust validation metrics for data quality

2024 - 2024

Education

Work History