Nehal Anurag

Key Skills

Software

Clickworker

Data Annotation Tech

Lionbridge

Remotasks

Scale AI

SuperAnnotate

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Emotion Recognition

Evaluation Rating

Object Detection

Polygon

Prompt Response Writing SFT

Question Answering

RLHF

Segmentation

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

I am an experienced data annotation and AI training data specialist with hands-on expertise in image, video, and voice annotation, as well as multimodal labeling and transcription for global platforms such as Soul AI, Outlier, and Invisible Technologies. My background includes creating and reviewing high-quality datasets for computer vision and NLP tasks, including precise object labeling, bounding boxes, color tagging, and detailed evaluation of AI-generated outputs. I am skilled in using industry-standard tools like Learnosity, Kadal AIG, and various CMS platforms, and have a strong track record of delivering accurate, accessible, and guideline-compliant data for diverse projects. My experience spans educational content, math assessment authoring, and translation between English and Hindi, ensuring both linguistic and technical accuracy in all annotation tasks. I excel at collaborating with cross-functional teams, meeting strict deadlines, and maintaining the highest standards of quality and consistency in AI training data.

Labeling Experience

Audio Data Annotator – Voice Annotation & Transcription Specialist

OtherAudioEmotion RecognitionAction Recognition

Worked on voice annotation and speech transcription projects involving English and Hindi audio datasets. Produced accurate verbatim transcriptions while preserving tone, intent, and contextual meaning. Performed emotion tagging and classification tasks to support speech recognition and conversational AI model training. Evaluated AI-generated transcriptions and responses using structured quality rubrics. Contributed to multilingual translation and localization tasks to enhance cross-language AI performance.

Worked on voice annotation and speech transcription projects involving English and Hindi audio datasets. Produced accurate verbatim transcriptions while preserving tone, intent, and contextual meaning. Performed emotion tagging and classification tasks to support speech recognition and conversational AI model training. Evaluated AI-generated transcriptions and responses using structured quality rubrics. Contributed to multilingual translation and localization tasks to enhance cross-language AI performance.

2025

Video Annotation Specialist – Object Tracking & Temporal Labeling

OtherVideoBounding BoxSegmentation

Performed detailed video annotation tasks including frame-by-frame object tracking, bounding box adjustments, motion labeling, and timestamp tagging. Ensured temporal consistency across frames while tracking moving objects and actions. Labeled multi-frame sequences for action recognition and behavioral detection models. Maintained strict adherence to annotation guidelines to improve detection accuracy and reduce model drift. Delivered high-quality annotated batches within tight project timelines.

Performed detailed video annotation tasks including frame-by-frame object tracking, bounding box adjustments, motion labeling, and timestamp tagging. Ensured temporal consistency across frames while tracking moving objects and actions. Labeled multi-frame sequences for action recognition and behavioral detection models. Maintained strict adherence to annotation guidelines to improve detection accuracy and reduce model drift. Delivered high-quality annotated batches within tight project timelines.

2025 - 2025

Image Data Annotator – Computer Vision & AI Model Training

Scale AIImageBounding BoxText Generation

Worked as an Image Data Annotator performing high-precision object labeling using bounding boxes, polygon segmentation, and classification techniques. Annotated diverse datasets including multi-object scenes, color tagging, coordinate marking, and detailed attribute labeling following strict QA guidelines. Evaluated AI-generated images for accuracy, visual consistency, and compliance with project rubrics. Contributed to model improvement by identifying labeling inconsistencies and edge cases. Maintained high throughput and quality standards in batch-based AI training projects for global platforms.

Worked as an Image Data Annotator performing high-precision object labeling using bounding boxes, polygon segmentation, and classification techniques. Annotated diverse datasets including multi-object scenes, color tagging, coordinate marking, and detailed attribute labeling following strict QA guidelines. Evaluated AI-generated images for accuracy, visual consistency, and compliance with project rubrics. Contributed to model improvement by identifying labeling inconsistencies and edge cases. Maintained high throughput and quality standards in batch-based AI training projects for global platforms.

2025 - 2025

Education

Work History