Abdulsomod O.

Key Skills

Software

Appen

Top Subject Matter

Computer vision (object detection/segmentation) and NLP (sentiment & topic classification)

Content moderation and compliance categorization

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Classification

Freelancer Overview

Freelance Data Labeler & Annotator (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Internal, and Proprietary Tooling. Education includes Bachelor of Science, University of Lagos (UNILAG) (2022) and Data Analytics Professional Certificate, Coursera (2024). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Classification.

Labeling Experience

Freelance Data Labeler & Annotator (Remote)

AppenImageBounding Box

Freelance data labeling for computer vision datasets, using bounding boxes and polygon segmentation to support object detection and segmentation workflows. Also performed NLP-oriented labeling by annotating text samples for sentiment analysis and topic classification to train machine learning models. Maintained high-quality outputs by following client guidelines and running quality assurance checks on peer work. • Annotated 8,500+ images using bounding boxes and polygon segmentation • Labeled 4,000+ text samples for sentiment analysis and topic classification • Achieved 97%+ accuracy according to client requirements • Conducted QA reviews on peer annotations for consistency

2024 - Present

Content Moderator & Data Entry Specialist

TextClassification

Content moderation and dataset labeling for user-generated content, focusing on compliance and categorization for downstream AI model training. Processed and cleaned large volumes of records while flagging ambiguous or low-quality items for supervisor review. Contributed to improved team efficiency through structured data tracking templates. • Reviewed and labeled user-generated content for compliance/categorization • Processed and cleaned 10,000+ records monthly • Flagged low-quality or ambiguous data for supervisor review • Built Excel templates to streamline workflow and tracking

2023 - 2023

Education

Work History