Teresa Amanwachi

Key Skills

Software

CVAT

Appen

Labelbox

Top Subject Matter

Computer Vision

Autonomous Driving

Natural Language Processing

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Classification

Freelancer Overview

AI Data Labeling & Evaluation Specialist - Appen. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Appen, and Labelbox. Education includes Master of Science, Bournemouth University (2025) and Bachelor of Science, Alex Ekwueme Federal University (2022). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Classification.

Labeling Experience

AI Data Labeling & Evaluation Specialist - Appen

AppenTextClassification

In my role at Appen, I completed various NLP tasks, including text classification, sentiment tagging, and content safety evaluation. I utilized Appen and Scale AI platforms to provide high-quality labels for natural language datasets. My efforts improved the performance and reliability of AI language models in multiple applications. • Classified and tagged large volumes of text for sentiment, intent, and content risk. • Used platforms like Appen and Scale AI for annotation and evaluation tasks. • Conducted consistent reviews to ensure labeling accuracy and guideline alignment. • Supported AI testing and model evaluation for NLP pipelines.

In my role at Appen, I completed various NLP tasks, including text classification, sentiment tagging, and content safety evaluation. I utilized Appen and Scale AI platforms to provide high-quality labels for natural language datasets. My efforts improved the performance and reliability of AI language models in multiple applications. • Classified and tagged large volumes of text for sentiment, intent, and content risk. • Used platforms like Appen and Scale AI for annotation and evaluation tasks. • Conducted consistent reviews to ensure labeling accuracy and guideline alignment. • Supported AI testing and model evaluation for NLP pipelines.

2021 - 2024

AI Data Labeling & Evaluation Specialist - Appen

CVATImageBounding Box

As an AI Data Labeling & Evaluation Specialist at Appen, I annotated computer vision datasets with high precision using multiple industry-standard tools. I contributed to large-scale labeling projects involving self-driving data and performed model output evaluations to ensure annotation quality. My work included quality assurance reviews and maintenance of strict labeling consistency. • Labeled vehicles, pedestrians, lanes, and environmental objects for autonomous driving datasets. • Applied bounding boxes and segmentation on images and videos using CVAT, Labelbox, and Supervisely. • Conducted quality reviews to uphold annotation standards and data integrity. • Evaluated AI model outputs with SRT metrics for accuracy improvement.

As an AI Data Labeling & Evaluation Specialist at Appen, I annotated computer vision datasets with high precision using multiple industry-standard tools. I contributed to large-scale labeling projects involving self-driving data and performed model output evaluations to ensure annotation quality. My work included quality assurance reviews and maintenance of strict labeling consistency. • Labeled vehicles, pedestrians, lanes, and environmental objects for autonomous driving datasets. • Applied bounding boxes and segmentation on images and videos using CVAT, Labelbox, and Supervisely. • Conducted quality reviews to uphold annotation standards and data integrity. • Evaluated AI model outputs with SRT metrics for accuracy improvement.

2021 - 2024

AI Training & Digital Operations - Freelance

LabelboxImageBounding Box

As a Freelance AI Training & Digital Operations professional, I participated in multiple annotation and dataset creation projects across computer vision and NLP domains. I handled bounding box labeling, data classification, and supported AI quality scoring using varied industry tools. These tasks contributed to building reliable and scalable datasets for machine learning models. • Created and refined image and video annotations for AI projects. • Assisted with AI testing, evaluation, and model scoring activities. • Conducted sentiment analysis and intent classification using digital tools. • Provided support for cross-functional AI dataset operations and quality assurance.

As a Freelance AI Training & Digital Operations professional, I participated in multiple annotation and dataset creation projects across computer vision and NLP domains. I handled bounding box labeling, data classification, and supported AI quality scoring using varied industry tools. These tasks contributed to building reliable and scalable datasets for machine learning models. • Created and refined image and video annotations for AI projects. • Assisted with AI testing, evaluation, and model scoring activities. • Conducted sentiment analysis and intent classification using digital tools. • Provided support for cross-functional AI dataset operations and quality assurance.

2020 - 2023

Education

Work History