Chinecherem Udemobi

Key Skills

Software

Scale AI

Appen

Labelbox

Surge AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Audio

Top Label Types

Classification

Bounding Box

Freelancer Overview

I am a detail-oriented AI data annotator with hands-on experience across text/NLP labeling, image and video annotation, audio transcription, and reinforcement learning from human feedback (RLHF). I have contributed to projects involving sentiment analysis, intent detection, named entity recognition, and computer vision using platforms like Scale AI, Labelbox, Appen, and Surge AI. My work includes annotating thousands of images for object detection, transcribing multilingual audio for ASR datasets, and providing feedback on AI-generated responses to improve model quality. I am committed to delivering high-quality, accurate data with a proven accuracy rate above 96%, and I thrive in collaborative, fast-paced remote environments. My adaptability and passion for AI technologies drive me to continually expand my skills and contribute to the advancement of machine learning systems.

Labeling Experience

AI Data Annotator (Internship / Freelance)

Scale AITextClassification

As an AI Data Annotator at Scale AI, I assisted in labeling and reviewing text datasets for various NLP tasks. I participated in RLHF workflows, providing detailed written feedback on AI model outputs. Consistently maintained annotation quality standards with high accuracy. • Labeled text data for sentiment analysis, intent detection, and named entity recognition. • Provided evaluation and feedback for AI-generated responses. • Maintained an accuracy rate above 96% for all tasks. • Resolved ambiguous cases and clarified guidelines with project leads.

As an AI Data Annotator at Scale AI, I assisted in labeling and reviewing text datasets for various NLP tasks. I participated in RLHF workflows, providing detailed written feedback on AI model outputs. Consistently maintained annotation quality standards with high accuracy. • Labeled text data for sentiment analysis, intent detection, and named entity recognition. • Provided evaluation and feedback for AI-generated responses. • Maintained an accuracy rate above 96% for all tasks. • Resolved ambiguous cases and clarified guidelines with project leads.

2024

Image & Video Annotation Assistant

AppenImageBounding Box

As an Image & Video Annotation Assistant at Appen, I annotated images and short video clips for computer vision projects. My tasks included drawing bounding boxes, using polygon tools, and applying basic semantic segmentation. I collaborated within a distributed team to meet project and quality requirements. • Labeled over 3,000 images and video clips for automotive and retail datasets. • Ensured accurate boundaries and class assignments using CVAT. • Adhered to project guidelines and specific annotation criteria. • Supported on-time project delivery with attention to detail.

As an Image & Video Annotation Assistant at Appen, I annotated images and short video clips for computer vision projects. My tasks included drawing bounding boxes, using polygon tools, and applying basic semantic segmentation. I collaborated within a distributed team to meet project and quality requirements. • Labeled over 3,000 images and video clips for automotive and retail datasets. • Ensured accurate boundaries and class assignments using CVAT. • Adhered to project guidelines and specific annotation criteria. • Supported on-time project delivery with attention to detail.

2024 - 2024

Audio Transcription Contributor

Surge AIAudioClassification

As an Audio Transcription Contributor at Surge AI, I transcribed speech samples for ASR training datasets in English and Nigerian Pidgin. My work included speaker labeling and noise tagging to enhance dataset usability. I achieved high accuracy across diverse audio samples. • Transcribed audio data for speech recognition models. • Applied speaker and noise classification within samples. • Maintained transcription accuracy rates above 96%. • Worked on both English and Nigerian Pidgin datasets.

As an Audio Transcription Contributor at Surge AI, I transcribed speech samples for ASR training datasets in English and Nigerian Pidgin. My work included speaker labeling and noise tagging to enhance dataset usability. I achieved high accuracy across diverse audio samples. • Transcribed audio data for speech recognition models. • Applied speaker and noise classification within samples. • Maintained transcription accuracy rates above 96%. • Worked on both English and Nigerian Pidgin datasets.

2023 - 2023

NLP & Text Labeling Contributor

LabelboxTextClassification

As an NLP & Text Labeling Contributor at Labelbox, I worked on chatbot and customer service datasets. My responsibilities focused on text classification, dialogue act labeling, and intent recognition. I delivered high-quality outputs while meeting daily workload targets. • Applied annotation schemas for conversational AI projects. • Tagged dialogue samples for specific act and intent classes. • Maintained quality standards as required by clients and team. • Completed tasks using the Labelbox platform efficiently.

As an NLP & Text Labeling Contributor at Labelbox, I worked on chatbot and customer service datasets. My responsibilities focused on text classification, dialogue act labeling, and intent recognition. I delivered high-quality outputs while meeting daily workload targets. • Applied annotation schemas for conversational AI projects. • Tagged dialogue samples for specific act and intent classes. • Maintained quality standards as required by clients and team. • Completed tasks using the Labelbox platform efficiently.

2023 - 2023

Education

Work History