Goodness A.

Key Skills

Software

Other

Top Subject Matter

AI content review

prompt-response evaluation

and guideline compliance

Top Data Types

Text

Video

Image

Document

Top Task Types

Emotion Recognition

Classification

Segmentation

Fine-tuning

Freelancer Overview

AI Content Review & Annotation Contributor (Independent Projects). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Obafemi Awolowo University. AI-training focus includes data types such as Text, Video, and Image and labeling workflows including Evaluation, Rating, and Emotion Recognition.

Labeling Experience

AI Content Review & Annotation Contributor (Independent Projects)

OtherImageClassification

Annotated images and associated visual assets with structured tags for downstream editing and review workflows. Labeled topic, scene type, emotional tone, quality level, and usefulness for editing while checking guideline compliance. Created and used consistent review notes to support repeatable annotation decisions.• Topic and scene type classification tags• Emotional tone and quality level labeling• Usefulness-for-editing tagging for asset selection• Guideline compliance and edge-case note taking

2025 - Present

AI Content Review & Annotation Contributor (Independent Projects)

OtherVideoEmotion Recognition

Reviewed short video outputs and related visual assets to assess quality and usefulness. Tagged scenes by emotional tone and quality level while checking that visuals matched the intended context. Noted issues such as unclear visuals, repeated scenes, and other quality problems during review.• Video output quality assessment• Emotional tone tagging for scenes• Quality level tagging for editing suitability• Issue flagging (unclear visuals, repeated scenes)

2025 - Present

AI Content Review & Annotation Contributor (Independent Projects)

OtherText

Reviewed AI outputs for correctness, clarity, relevance, and whether instructions were followed. Compared outputs against written requirements and documented specific reasons for acceptance, rejection, or revision. Used review checklists and edge-case reporting to maintain consistent quality.• Accuracy and clarity validation against requirements• Instruction-following / prompt adherence checks• Acceptance, rejection, and revision rationale notes• Edge-case identification and documentation

2025 - Present

Education

Work History