Ebube D.

Key Skills

Software

iMerit

Don't disclose

Other

Labelbox

Top Subject Matter

Computer vision training data for autonomous/object detection systems.

Online evaluation and rating for AI/RLHF improvements.

Multimodal dataset collection and labeling (images/videos).

Top Data Types

Video

Text

Image

Document

Top Task Types

Segmentation

Data Collection

Entity (NER) Classification

Bounding Box

Polygon

Object Detection

Tracking

RLHF

Point/Key Point

Freelancer Overview

AI Data Specialist (Data Annotator) — iMerit Technology. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit, Don't disclose, and Other. Education includes Bachelor of Engineering, University of Nigeria, Nsukka and Bachelor of Business Administration, University of the People. AI-training focus includes data types such as Video, Text, and Image and labeling workflows including Segmentation, Evaluation, and Rating.

Labeling Experience

Research & Strategy Consultant - Independent Practice

LabelboxImageBounding BoxPolygon

As a freelance Research & Strategy Consultant, you designed and executed end-to-end research workstreams and produced client-ready deliverables. You synthesized multi-source information into clear, structured outputs such as analytical briefs, memos, and synthesis reports. You applied hypothesis-driven thinking and MECE structuring to decompose complex questions into well-scoped research modules. • Conducted desk research and analytical synthesis across multiple sectors • Developed prompt specifications to guide AI-assisted research workflows • Created evaluation rubrics to calibrate output quality • Produced executive-ready summaries and stakeholder presentations

2024 - Present

AI Data Contributor (Online Rater & Evaluator) — TELUS International AI

Don't discloseText

Conducted online evaluation tasks including search engine evaluation, ad quality rating, and AI response assessment using platform rubrics. Provided human feedback on relevance, accuracy, safety, and cultural appropriateness to support RLHF model improvement pipelines. Maintained quality while adapting to evolving guidelines across image, text, and video rating categories. • Rated search results, ad relevance, and response quality per rubric. • Assessed relevance, accuracy, safety, and cultural fit. • Supplied human feedback contributing to RLHF evaluation loops. • Met weekly volume targets within quality monitoring thresholds.

2023 - 2024

AI Data Specialist (Data Annotator) — iMerit Technology

iMeritVideoSegmentation

Performed computer vision dataset annotations for bounding boxes, segmentation masks, and keypoints as part of object detection and autonomous-systems training pipelines. Maintained consistent quality scores above platform thresholds with low rejection rates across submitted batches. Followed structured annotation guidelines independently and escalated ambiguous cases appropriately. • Annotated segmentation masks for visual regions of interest. • Labeled keypoints and bounding areas to support model learning. • Escalated uncertain or ambiguous edge cases through the correct process. • Monitored quality to keep submissions within platform thresholds.

2023 - 2024

Freelance Data Annotator — OpenTrain AI

OtherTextEntity (NER) Classification

Completed image labeling, video annotation, and text categorization tasks across different AI training use cases. Managed the project pipeline end-to-end, including selecting tasks, delivering on schedule, and performing quality review before submission. Maintained a strong completion record through consistent accuracy and timely delivery. • Labeled visual content for AI training datasets. • Annotated video items according to task requirements. • Categorized and labeled text for downstream model learning. • Performed pre-submission quality checks before delivery.

2022 - 2023

Data Annotator & Collector — Atlas Capture

Don't discloseImageData Collection

Collected structured image and video datasets following detailed collection briefs to ensure diversity in environment, lighting, angles, and subject representation. Annotated collected content with appropriate labels and metadata before submission, maintaining alignment with client dataset specifications. Managed multiple simultaneous collection tasks and delivered batches on schedule with low resubmission rates. • Collected images/videos according to the provided briefs. • Labeled items and added required metadata for dataset quality. • Ensured representation diversity across environments and subjects. • Delivered batches on time with minimal resubmissions.

2022 - 2023

Education

Work History