Munachimso Emeka-Obinabo

Key Skills

Software

Appen

Other

Top Subject Matter

Generative AI/Text Classification

Computer Vision/Urban Environment Images

Financial Chart/Technical Analysis

Top Data Types

Text

Image

Document

Top Task Types

Classification

Bounding Box

Question Answering

Fine-tuning

Evaluation/Rating

Freelancer Overview

Data Annotator (Contract). Brings 1+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen and Other. Education includes Bachelor of Engineering, Federal University of Technology, Owerri (2022). AI-training focus includes data types such as Text and Image and labeling workflows including Classification and Bounding Box.

Labeling Experience

Data Annotator (Contract)

AppenTextClassification

As a Data Annotator at Appen, I was responsible for annotating and labeling diverse text datasets to improve generative AI model performance. My tasks involved text classification, categorizing data using rule-based taxonomies, and identifying edge cases. I maintained high accuracy and consistently met daily targets for volume. • Annotated and labeled diverse text for AI training • Applied rule-based taxonomies for data categorization • Provided feedback on edge cases to project leads • Maintained high SPAM scores and quality-control standards.

As a Data Annotator at Appen, I was responsible for annotating and labeling diverse text datasets to improve generative AI model performance. My tasks involved text classification, categorizing data using rule-based taxonomies, and identifying edge cases. I maintained high accuracy and consistently met daily targets for volume. • Annotated and labeled diverse text for AI training • Applied rule-based taxonomies for data categorization • Provided feedback on edge cases to project leads • Maintained high SPAM scores and quality-control standards.

2025 - 2026

Data Annotator (Technical Analysis Project)

OtherImageClassification

I participated in a technical analysis project focused on annotation of financial charts using rule-based logic. My main responsibilities included identifying and labeling order blocks and liquidity zones, as well as detecting behavioral patterns. This supported algorithm training for market structure analysis. • Utilized SMC logic for technical labeling tasks • Applied classification strategies to financial charts • Identified order blocks for data model training • Labeled liquidity zones to improve pattern recognition.

I participated in a technical analysis project focused on annotation of financial charts using rule-based logic. My main responsibilities included identifying and labeling order blocks and liquidity zones, as well as detecting behavioral patterns. This supported algorithm training for market structure analysis. • Utilized SMC logic for technical labeling tasks • Applied classification strategies to financial charts • Identified order blocks for data model training • Labeled liquidity zones to improve pattern recognition.

2025 - 2025

Visual Data Annotator (Junior/Project-Based)

AppenImageBounding Box

In the role of Visual Data Annotator at Appen, I performed foundational visual labeling tasks on urban environment images to support computer vision initiatives. Responsibilities included drawing bounding boxes, categorizing images by visual attributes, and image segmentation. My work required pixel-perfect precision and adherence to a strict project rubric. • Drew bounding boxes around objects in urban images • Categorized images by visual attribute • Executed precise segmentation tasks • Consistently followed strict project guidelines.

In the role of Visual Data Annotator at Appen, I performed foundational visual labeling tasks on urban environment images to support computer vision initiatives. Responsibilities included drawing bounding boxes, categorizing images by visual attributes, and image segmentation. My work required pixel-perfect precision and adherence to a strict project rubric. • Drew bounding boxes around objects in urban images • Categorized images by visual attribute • Executed precise segmentation tasks • Consistently followed strict project guidelines.

2025 - 2025

Project Data Labeling (Subscription Churn Project)

OtherTextClassification

Managed a project targeting customer retention through cleaning and labeling user behaviour data for churn pattern identification. Responsibilities included systematic text dataset labeling to support churn prediction models. Ensured accurate, consistent labeling to inform user retention strategies. • Cleaned and labeled customer behaviour data • Supported dataset preparation for churn models • Ensured data integrity for machine learning tasks • Identified patterns within customer interaction records.

Managed a project targeting customer retention through cleaning and labeling user behaviour data for churn pattern identification. Responsibilities included systematic text dataset labeling to support churn prediction models. Ensured accurate, consistent labeling to inform user retention strategies. • Cleaned and labeled customer behaviour data • Supported dataset preparation for churn models • Ensured data integrity for machine learning tasks • Identified patterns within customer interaction records.

Not specified

Education

Work History