Livingfaith Offiong

Key Skills

Software

Labelbox

Don't disclose

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Text

Top Label Types

Classification

Tracking

Bounding Box

Entity Ner Classification

Segmentation

Question Answering

Text Generation

Freelancer Overview

I am a detail-oriented Data Annotation Specialist with over 9 months of hands-on experience supporting AI and machine learning projects, particularly in computer vision and NLP domains. My expertise includes frame-by-frame video annotation, object tracking, temporal segmentation, and image classification using tools like Labelbox and Annotate. I am skilled at maintaining high annotation accuracy, performing rigorous dataset validation, and ensuring quality assurance in remote AI production workflows. With a background in engineering and intermediate Python proficiency, I excel at structured data management, technical problem-solving, and delivering reliable, high-quality training data for advanced AI systems.

Labeling Experience

Data Annotations

Don T DiscloseImageBounding BoxEntity Ner Classification

Here I worked on video and image annotations labeling tasks, as well as text, audios and video annotations

Here I worked on video and image annotations labeling tasks, as well as text, audios and video annotations

2025

AI Data Annotation Contributor

LabelboxTextClassification

As an AI Data Annotation Contributor at Handshake, I participated in AI training tasks requiring advanced English comprehension and contextual reasoning. My core tasks included text classification, labeling, and quality-focused dataset validation aligned with project guidelines. I consistently delivered high-quality annotated outputs within strict turnaround times for NLP-focused projects. • Performed text labeling and validation adhering to labeling protocols. • Supported natural language processing datasets for AI model training. • Focused on bias reduction and annotation consistency. • Worked collaboratively on remote projects requiring accuracy and efficiency.

As an AI Data Annotation Contributor at Handshake, I participated in AI training tasks requiring advanced English comprehension and contextual reasoning. My core tasks included text classification, labeling, and quality-focused dataset validation aligned with project guidelines. I consistently delivered high-quality annotated outputs within strict turnaround times for NLP-focused projects. • Performed text labeling and validation adhering to labeling protocols. • Supported natural language processing datasets for AI model training. • Focused on bias reduction and annotation consistency. • Worked collaboratively on remote projects requiring accuracy and efficiency.

2025

Video Data Annotator

LabelboxVideoTracking

In my role as a Video Data Annotator at Atlas Capture, I performed detailed frame-by-frame video annotation to develop motion detection and object tracking systems. I was responsible for annotating moving objects, scene transitions, and contextual elements within long-duration video datasets. My work included conducting validation checks to eliminate frame inconsistencies and maintain temporal accuracy across annotations. • Used Labelbox and Annotate to execute robust tracking with bounding boxes and temporal tagging. • Ensured precise spatial positioning and alignment within computer vision datasets. • Conducted quality assurance reviews to detect and fix labeling errors. • Supported high-quality outputs through strong attention to detail and remote workflow collaboration.

In my role as a Video Data Annotator at Atlas Capture, I performed detailed frame-by-frame video annotation to develop motion detection and object tracking systems. I was responsible for annotating moving objects, scene transitions, and contextual elements within long-duration video datasets. My work included conducting validation checks to eliminate frame inconsistencies and maintain temporal accuracy across annotations. • Used Labelbox and Annotate to execute robust tracking with bounding boxes and temporal tagging. • Ensured precise spatial positioning and alignment within computer vision datasets. • Conducted quality assurance reviews to detect and fix labeling errors. • Supported high-quality outputs through strong attention to detail and remote workflow collaboration.

2025

AI Data Annotation Specialist

LabelboxImageClassification

As an AI Data Annotation Specialist at Outlier for the Multimango Project, I annotated both structured and unstructured image and text datasets to support machine learning systems. My primary responsibilities included performing image classification, bounding box annotation, segmentation, tagging, and contextual labeling. I regularly conducted dataset validation and quality assurance reviews to ensure consistency and accuracy across annotations. • Utilized Labelbox and Annotate for efficient labeling workflows. • Provided structured feedback to improve AI model learning and reduce labeling bias. • Maintained high productivity and accuracy benchmarks in remote production settings. • Contributed to computer vision and NLP data preparation for advanced AI applications.

As an AI Data Annotation Specialist at Outlier for the Multimango Project, I annotated both structured and unstructured image and text datasets to support machine learning systems. My primary responsibilities included performing image classification, bounding box annotation, segmentation, tagging, and contextual labeling. I regularly conducted dataset validation and quality assurance reviews to ensure consistency and accuracy across annotations. • Utilized Labelbox and Annotate for efficient labeling workflows. • Provided structured feedback to improve AI model learning and reduce labeling bias. • Maintained high productivity and accuracy benchmarks in remote production settings. • Contributed to computer vision and NLP data preparation for advanced AI applications.

2025

Education

Work History