Solomon V.

Key Skills

Software

CVAT

Label Studio

Data Annotation Tech

Roboflow

Top Subject Matter

Multimodal AI evaluation and image response comparison

Image annotation and multimodal AI evaluation

Top Data Types

Document

Text

Image

Top Task Types

Classification

Evaluation/Rating

Question Answering

Data Collection

Text Summarization

Entity (NER) Classification

Freelancer Overview

AI Data Annotator & Multimodal AI Evaluator with strong attention to detail, analytical thinking, and quality-focused workflow experience. Experienced in reviewing information carefully, following structured guidelines, maintaining accurate documentation, and working independently in remote environments. Interested in AI training projects involving image annotation, AI response evaluation, prompt adherence review, image comparison, and multimodal evaluation tasks. Holds a Bachelor of Education (B.Ed) in Guidance and Counseling from Adekunle Ajasin University (2025). Skilled in data annotation, content evaluation, pattern recognition, and data quality review. Familiar with AI training workflows involving image data, evaluation and rating tasks, and annotation tools such as CVAT, Label Studio, and Roboflow. Strong communicator with a commitment to accuracy, consistency, and continuous learning in AI training and data labeling environments.

Labeling Experience

AI Data Annotator & Multimodal AI Evaluator (image evaluation tasks)

OtherImageEvaluation/Rating

Evaluated AI-generated image outputs for quality, prompt adherence, realism, and instruction following using structured evaluation guidelines. Compared generated image responses against prompt requirements and rubric-based expectations to identify accuracy issues, inconsistencies, and visual distortions. Maintained careful attention to detail while performing independent remote evaluation and quality review tasks. • Reviewed AI-generated image responses for instruction-following accuracy. • Compared outputs based on realism, quality, and prompt adherence. • Identified inconsistencies, distortions, and quality-related issues in generated images. • Applied structured evaluation criteria during image review and rating tasks. • Maintained organized documentation and consistent quality-review practices.

2026 - Present

Behavioral Data Annotation and Structured Observation Project (Academic Practicum)

OtherTextEvaluation/Rating

Conducted structured behavioral observation and documentation as part of a counseling practicum at CAC Grammar School. The work involved observing student behavior, recording interactions in a structured format, and categorizing behavioral patterns based on predefined guidelines provided by supervising counselors. Responsibilities included accurate data recording, classification of behavioral indicators, and maintaining consistency across annotated records. Emphasis was placed on attention to detail, structured documentation, confidentiality, and adherence to strict evaluation guidelines to ensure reliable and high-quality observational data.

2023 - 2024

Education

Work History