Jasim Fazil

Key Skills

Software

Label Studio

CVAT

AWS SageMaker

Data Annotation Tech

Labelbox

Scale AI

SuperAnnotate

Other

Top Subject Matter

AI model training and evaluation for transportation services

Road safety

traffic management

Top Data Types

Audio

Image

Document

Video

Text

Top Task Types

Transcription

Bounding Box

Classification

Text Generation

Text Summarization

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Question Answering

Fine-tuning

Freelancer Overview

AI Data Annotation Intern – OLA Cabs (Krutrim AI). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Label Studio. Education includes Bachelor of Technology, Mohamed Sathak Engineering College (2023). AI-training focus includes data types such as Audio, Image, and Document and labeling workflows including Transcription, Bounding Box, and Classification.

Labeling Experience

Analyst AI / LLM – Innodata Inc (Mustang Team)

Audio

Supported TTS and Speech-to-Speech (S2S) LLM evaluation with focus on AI-generated audio accuracy, clarity, and naturalness. Conducted prompt-based assessments and identified discrepancies in multimodal model outputs. Maintains ongoing responsibilities for visual data analysis, prompt engineering, and performance optimization. • Performed extensive TTS/S2S audio quality evaluation. • Analyzed image outputs for visual discrepancies. • Utilized prompts for content regeneration tasks. • Led quality assurance for multimodal AI evaluation.

Supported TTS and Speech-to-Speech (S2S) LLM evaluation with focus on AI-generated audio accuracy, clarity, and naturalness. Conducted prompt-based assessments and identified discrepancies in multimodal model outputs. Maintains ongoing responsibilities for visual data analysis, prompt engineering, and performance optimization. • Performed extensive TTS/S2S audio quality evaluation. • Analyzed image outputs for visual discrepancies. • Utilized prompts for content regeneration tasks. • Led quality assurance for multimodal AI evaluation.

2026 - Present

Analyst AI / LLM – Innodata Inc (Practice Team)

TextClassification

Handled annotation and labeling for text, audio, video, and image datasets to support LLM training and performance. Maintained high productivity while collaborating with LLM engineers on multi-format data. Conducted robust quality assurance to ensure data accuracy and reliability. • Labeled diverse multimodal datasets. • Worked in close sync with LLM development teams. • Performed comprehensive QA for all formats. • Improved overall data quality for downstream tasks.

Handled annotation and labeling for text, audio, video, and image datasets to support LLM training and performance. Maintained high productivity while collaborating with LLM engineers on multi-format data. Conducted robust quality assurance to ensure data accuracy and reliability. • Labeled diverse multimodal datasets. • Worked in close sync with LLM development teams. • Performed comprehensive QA for all formats. • Improved overall data quality for downstream tasks.

2025 - 2026

Video Annotator – Nexority Private Limited

CVATVideoClassification

Performed video annotation and labeling to support AI model training for computer vision applications. Ensured consistency through defined labeling protocols and close collaboration with machine learning engineers. Conducted quality checks for anomaly detection and misclassification rectification. • Labeled diverse video datasets for model enhancement. • Identified anomalies within visual content. • Collaborated for optimized dataset usability. • Supported rigorous video quality assurance processes.

Performed video annotation and labeling to support AI model training for computer vision applications. Ensured consistency through defined labeling protocols and close collaboration with machine learning engineers. Conducted quality checks for anomaly detection and misclassification rectification. • Labeled diverse video datasets for model enhancement. • Identified anomalies within visual content. • Collaborated for optimized dataset usability. • Supported rigorous video quality assurance processes.

2025 - 2025

Data Processing Specialist and Quality Control Analyst – Indika AI Private Limited

DocumentClassification

Processed and labeled over 1,000 machine learning datasets for readiness and analytics. Conducted quality control and rigorous accuracy checks across more than 100 batches. Optimized workflows to enhance annotation speed and accuracy in collaboration with QA and engineering teams. • Maintained a 98% accuracy rate in label quality. • Streamlined annotation processes for quicker turnaround. • Coordinated with teams for quality compliance. • Supported analytical and ML model initiatives.

Processed and labeled over 1,000 machine learning datasets for readiness and analytics. Conducted quality control and rigorous accuracy checks across more than 100 batches. Optimized workflows to enhance annotation speed and accuracy in collaboration with QA and engineering teams. • Maintained a 98% accuracy rate in label quality. • Streamlined annotation processes for quicker turnaround. • Coordinated with teams for quality compliance. • Supported analytical and ML model initiatives.

2024 - 2025

Image Annotation Specialist – RoadVision AI

Label StudioImageBounding Box

Annotated and analyzed over 5,000 images to aid AI-driven transportation safety solutions. Applied bounding box techniques to label vehicles, road elements, and traffic patterns. Worked with cross-functional teams for precise data labeling and improved traffic systems. • Contributed to large-scale computer vision datasets. • Utilized drone surveillance data for detailed annotation. • Supported data initiatives in accident prevention. • Enhanced traffic management through image labeling.

Annotated and analyzed over 5,000 images to aid AI-driven transportation safety solutions. Applied bounding box techniques to label vehicles, road elements, and traffic patterns. Worked with cross-functional teams for precise data labeling and improved traffic systems. • Contributed to large-scale computer vision datasets. • Utilized drone surveillance data for detailed annotation. • Supported data initiatives in accident prevention. • Enhanced traffic management through image labeling.

2024 - 2025

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Education

Work History