Best M.

Key Skills

Software

Label Studio

Don't disclose

Top Subject Matter

Machine learning training data annotation (visual/text classification and action labeling)

Engineering technical training with structured problem-solving (AI/data operations adjacent)

Education tutoring with structured instructional content and evaluations (not AI-labeling specific)

Top Data Types

Image

Text

Document

Top Task Types

Action Recognition

Classification

Data Collection

Freelancer Overview

Federal University of Technology Owerri (FUTO) – Engineering SIWES Trainee (2025). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Don't disclose. Education includes Bachelor of Engineering, Federal University of Technology Owerri (FUTO) and Engineering SIWES Trainee, Federal University of Technology Owerri (FUTO) (2025). AI-training focus includes data types such as Image and Text and labeling workflows including Action Recognition, Classification, and Data Collection.

Labeling Experience

Atlas Capture Data Annotation Associate (January 2026 – Present)

Label StudioImageAction RecognitionClassification

Annotated and categorized visual and text-based data using structured AI labeling systems and detailed guidelines. Performed goal-oriented action classification and dense annotation work to support machine learning training workflows. Reviewed task outputs for quality assurance and compliance with annotation standards. • Visual and text-based annotation using guideline interpretation • Goal-oriented action classification for training labels • Dense annotation with attention to detail • Quality assurance review for consistency and compliance

2026 - Present

Federal University of Technology Owerri (FUTO) – Engineering SIWES Trainee (2025)

TextData Collection

Participated in engineering SIWES training that emphasized structured problem-solving and practical technical skill development. Applied teamwork-oriented workflows and applied engineering concepts to simulate real-world tasks. Although not explicitly labeled as AI/data annotation, the training involved technical data handling and structured activities that align with preparing for technical annotation work. • Team-based structured problem-solving activities • Applied engineering concepts through collaborative execution • Practical, technical skill development • Technical workflow discipline for data-oriented tasks

2025 - 2025

Private Mathematics Tutor (2022 – 2024)

Don't discloseText

Provided personalized mathematics instruction as a private tutor, supporting students with targeted explanations and practice. Adapted lesson approaches to improve understanding of difficult concepts and reinforce learning goals. While not AI-specific labeling work, the role involved creating and refining learning materials and structured evaluation through tutoring sessions. • Tailored explanations for multiple academic levels • Guided practice and targeted lesson support • Reinforced learning objectives through iterative teaching • Built structured instructional content for student improvement

2022 - 2024

Education

Work History