Jeffery Tebeda

Key Skills

Software

Clickworker

Remotasks

Top Subject Matter

Machine Learning

Computer Vision

Natural Language Processing

Top Data Types

Text

Image

Video

Top Task Types

Entity Ner Classification

Classification

Bounding Box

Question Answering

Transcription

Freelancer Overview

AI Data Annotation Specialist. Core strengths include Clickworker and Remotasks. Education includes Bachelor of Engineering, University of Benin (2024). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification and Classification.

Labeling Experience

AI Data Annotation Specialist

ClickworkerTextEntity Ner Classification

As a Data Annotation Specialist at Clickworker, I annotated large volumes of text, image, and audio data to train and validate machine learning models. I focused on multiple annotation types including bounding boxes, semantic segmentation, named entity recognition, sentiment analysis, and keypoint labeling. The role required strict adherence to project guidelines and maintaining a 98% accuracy rate, regularly audited by the quality control team. • Labeled over 30,000 data points across text, image, and audio datasets to support AI and algorithm training. • Conducted quality control checks, correcting inconsistencies to uphold high data standards. • Utilized various annotation tools, including Labelbox, CVAT, LabelImg, Prodigy, and Supervisely. • Ensured timely completion of deliverables while working remotely and independently.

As a Data Annotation Specialist at Clickworker, I annotated large volumes of text, image, and audio data to train and validate machine learning models. I focused on multiple annotation types including bounding boxes, semantic segmentation, named entity recognition, sentiment analysis, and keypoint labeling. The role required strict adherence to project guidelines and maintaining a 98% accuracy rate, regularly audited by the quality control team. • Labeled over 30,000 data points across text, image, and audio datasets to support AI and algorithm training. • Conducted quality control checks, correcting inconsistencies to uphold high data standards. • Utilized various annotation tools, including Labelbox, CVAT, LabelImg, Prodigy, and Supervisely. • Ensured timely completion of deliverables while working remotely and independently.

2025 - Present

Junior Data Annotator

RemotasksImageClassification

As a Junior Data Annotator at Remotasks, I labeled and categorized thousands of image and text data points for AI training purposes. I prioritized precision in tagging and classification per guidelines and actively participated in quality assurance through self- and peer-reviews. The position required adaptability to new tools and consistent attention to detail under tight deadlines. • Labeled and categorized over 20,000 data items with a focus on precision. • Supported annotation workflow by cleaning and organizing raw data prior to labeling. • Provided actionable feedback on project guidelines to enhance dataset quality. • Leveraged expertise in annotation tools to adapt quickly to evolving project needs.

As a Junior Data Annotator at Remotasks, I labeled and categorized thousands of image and text data points for AI training purposes. I prioritized precision in tagging and classification per guidelines and actively participated in quality assurance through self- and peer-reviews. The position required adaptability to new tools and consistent attention to detail under tight deadlines. • Labeled and categorized over 20,000 data items with a focus on precision. • Supported annotation workflow by cleaning and organizing raw data prior to labeling. • Provided actionable feedback on project guidelines to enhance dataset quality. • Leveraged expertise in annotation tools to adapt quickly to evolving project needs.

2025 - 2025

Education

Work History