Key Skills

Software

Appen

Labelbox

Scale AI

Top Subject Matter

Natural Language Processing (NLP)

Conversational AI

Computer Vision

Top Data Types

Text

Image

Audio

Top Task Types

Entity Ner Classification

Bounding Box

Segmentation

Transcription

Freelancer Overview

AI Trainer / Data Annotator, Text Labeling and NLP Tasks. Core strengths include Appen, Labelbox, and Scale AI. Education includes Bachelor of Medical Laboratory Science, Achievers University (2021). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Bounding Box, and Segmentation.

Labeling Experience

AI Trainer / Data Annotator, Audio Transcription and Segmentation

AppenAudioTranscription

Transcribed, segmented, and performed quality checks on audio and speech recordings for voice assistant and speech recognition AI model development. Ensured label accuracy by rigorously following detailed annotation rubrics and style guides for a wide range of audio scenarios. Worked closely with project managers to resolve ambiguous audio data cases and uphold high standards. • Transcription of speech and audio data for machine learning. • Audio segmentation to aid in model training processes. • Quality assurance checks for accuracy and consistency. • Collaboration for resolving ambiguous audio content.

Transcribed, segmented, and performed quality checks on audio and speech recordings for voice assistant and speech recognition AI model development. Ensured label accuracy by rigorously following detailed annotation rubrics and style guides for a wide range of audio scenarios. Worked closely with project managers to resolve ambiguous audio data cases and uphold high standards. • Transcription of speech and audio data for machine learning. • Audio segmentation to aid in model training processes. • Quality assurance checks for accuracy and consistency. • Collaboration for resolving ambiguous audio content.

2025 - 2026

AI Trainer / Data Annotator, Image & Video Segmentation

Scale AIImageSegmentation

Performed semantic segmentation on image and video frames to differentiate and classify various regions for ML model training. Collaborated with annotation teams and QA reviewers to resolve complex scenarios and maintain project guideline alignment. Utilized Scale AI and Labelbox to deliver consistent, high-quality segmentation data. • Segmented images and video frames with precision tools. • Classified pixels by category for semantic understanding. • Participated in team-based review and quality processes. • Maintained standards across diverse visual datasets.

Performed semantic segmentation on image and video frames to differentiate and classify various regions for ML model training. Collaborated with annotation teams and QA reviewers to resolve complex scenarios and maintain project guideline alignment. Utilized Scale AI and Labelbox to deliver consistent, high-quality segmentation data. • Segmented images and video frames with precision tools. • Classified pixels by category for semantic understanding. • Participated in team-based review and quality processes. • Maintained standards across diverse visual datasets.

2025 - 2026

AI Trainer / Data Annotator, Image Labeling

LabelboxImageBounding Box

Labeled objects in image datasets using bounding boxes to generate high-quality training data for computer vision models. Used Labelbox and Scale AI to create precise boundary annotations and contributed to image-based ML pipelines. Supported project goals by achieving daily throughput targets while maintaining high annotation accuracy. • Annotated images with bounding boxes for detection tasks. • Used industry-leading platforms for labeling efficiency. • Collaborated on edge cases and ambiguous image scenarios. • Ensured data quality and consistency in visual datasets.

Labeled objects in image datasets using bounding boxes to generate high-quality training data for computer vision models. Used Labelbox and Scale AI to create precise boundary annotations and contributed to image-based ML pipelines. Supported project goals by achieving daily throughput targets while maintaining high annotation accuracy. • Annotated images with bounding boxes for detection tasks. • Used industry-leading platforms for labeling efficiency. • Collaborated on edge cases and ambiguous image scenarios. • Ensured data quality and consistency in visual datasets.

2025 - 2026

AI Trainer / Data Annotator, Text Labeling and NLP Tasks

AppenTextEntity Ner Classification

Performed comprehensive annotation and labeling of large-scale text datasets for supervised and reinforcement learning pipelines. Executed tasks including Named Entity Recognition (NER), sentiment tagging, intent classification, and conversation labeling for NLP model optimization. Maintained annotation accuracy rates above 95% by adhering to detailed client-specific guidelines. • Named Entity Recognition for entities in text. • Sentiment tagging and intent classification for contextual understanding. • Conversation labeling to enhance dialogue systems. • Feedback on guidelines for improved annotation consistency.

Performed comprehensive annotation and labeling of large-scale text datasets for supervised and reinforcement learning pipelines. Executed tasks including Named Entity Recognition (NER), sentiment tagging, intent classification, and conversation labeling for NLP model optimization. Maintained annotation accuracy rates above 95% by adhering to detailed client-specific guidelines. • Named Entity Recognition for entities in text. • Sentiment tagging and intent classification for contextual understanding. • Conversation labeling to enhance dialogue systems. • Feedback on guidelines for improved annotation consistency.

2025 - 2026

Education

Work History