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Solomon Egwu

Solomon Egwu

AI Data Annotator | Video Activity & Object Interaction Labeling | LLM Response Evaluation

NIGERIA flag
Enugu, Nigeria
$15.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

VideoVideo
TextText

Top Label Types

Action Recognition
Audio Recording
Computer Programming Coding
Data Collection
Entity Ner Classification
Evaluation Rating
Object Detection
Point Key Point
Prompt Response Writing SFT
Segmentation
Text Generation
Tracking

Freelancer Overview

I’m an experienced AI data labeler who has worked on real AI training projects, contributing to the preparation and improvement of datasets used to train machine learning models. My work involves carefully reviewing, labeling, and validating data while following detailed annotation guidelines to maintain accuracy and consistency. Through platforms like Outlier and Atlas Capture, I’ve worked on tasks that require strong attention to detail, clear written English, and the ability to identify patterns and edge cases within datasets. I’m comfortable working in remote AI training environments and collaborating with distributed teams using tools such as Hubstaff and AnyDesk. I take pride in producing high-quality annotations because I understand that the quality of labeled data directly affects how well AI systems learn and perform. My strengths include accuracy, fast learning, and the ability to maintain high quality while meeting project deadlines.

Entry LevelEnglishIgboYorubaSpanishHausa

Labeling Experience

AI Dataset Quality Assurance & Annotation Review

OtherVideoPoint Key PointObject Detection
Performed dataset validation and annotation review tasks to ensure training data met required quality standards. Reviewed labeled data for consistency, corrected misclassified entries, and ensured guidelines were properly followed across datasets. Helped improve the reliability of AI training data by identifying edge cases, inconsistencies, and errors that could affect model learning.

Performed dataset validation and annotation review tasks to ensure training data met required quality standards. Reviewed labeled data for consistency, corrected misclassified entries, and ensured guidelines were properly followed across datasets. Helped improve the reliability of AI training data by identifying edge cases, inconsistencies, and errors that could affect model learning.

2025

LLM Response Evaluation & AI Training Data Review

OtherTextTrackingEvaluation Rating
Worked on AI training projects focused on evaluating and reviewing AI-generated responses to improve the performance of large language models. Tasks included reviewing outputs, identifying inaccuracies, assessing relevance, and ensuring responses met quality and safety guidelines. Maintained strong attention to detail while working through large datasets and consistently followed detailed project instructions to ensure high-quality training data. Collaborated in a remote workflow environment while tracking productivity and task completion using project management tools.

Worked on AI training projects focused on evaluating and reviewing AI-generated responses to improve the performance of large language models. Tasks included reviewing outputs, identifying inaccuracies, assessing relevance, and ensuring responses met quality and safety guidelines. Maintained strong attention to detail while working through large datasets and consistently followed detailed project instructions to ensure high-quality training data. Collaborated in a remote workflow environment while tracking productivity and task completion using project management tools.

2025

Video Annotation for human-object interaction recogniton

OtherVideoSegmentationAction Recognition
Annotated video datasets by identifying and labeling actions performed by entities and the objects involved in those activities. Tasks included reviewing short video clips, recognizing specific behaviors, and tagging the relevant entities and objects according to project guidelines. Maintained consistency and accuracy while labeling large volumes of video data to support computer vision models designed for activity recognition and scene understanding. Carefully followed annotation instructions and quality standards to ensure reliable training data for AI systems.

Annotated video datasets by identifying and labeling actions performed by entities and the objects involved in those activities. Tasks included reviewing short video clips, recognizing specific behaviors, and tagging the relevant entities and objects according to project guidelines. Maintained consistency and accuracy while labeling large volumes of video data to support computer vision models designed for activity recognition and scene understanding. Carefully followed annotation instructions and quality standards to ensure reliable training data for AI systems.

2025

Education

M

Miva Open University

Bachelor's Degree in Data Science (in progress), Data Science

Bachelor's Degree in Data Science (in progress)
2025 - 2025

Work History

F

Feel Free Services

Database Manager

Enugu
2025 - Present
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Freelance

Event Planner & Coordinator

Enugu
2024 - Present