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E
Ejiofor M.

Ejiofor M.

Content Creator & AI Output Reviewer — Jany Ai Studio

Nigeria flagAnambra State, Nigeria

Key Skills

Software

Don't disclose

Top Subject Matter

AI-generated media quality evaluation (content moderation-style checks)
Clinical documentation data accuracy and medical information classification
Legal Services & Contract Review

Top Data Types

ImageImage
VideoVideo
TextText
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

Content Creator & AI Output Reviewer — Jany Ai Studio. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Leonardo AI, Kling AI, and Ideogram. Education includes Student, N/A. AI-training focus includes data types such as Image, Video, and Medical and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Content Creator & AI Output Reviewer — Jany Ai Studio

ImageImage

Provided daily review and rating of AI-generated images and videos to filter out flawed or off-guideline outputs before publishing. Selected and labeled the best output by comparing multiple AI variations against a target quality bar, similar to preference/ranking evaluation. Ensured each posted asset complied with a defined style and safety guideline set. • Reviewed realism/accuracy and guideline compliance for AI image/video outputs • Compared multiple AI-generated variations and chose the highest-quality result • Applied consistent style and safety/safety-policy checks across posts • Performed repetitive, volume-focused evaluation prior to publishing

2024 - Present

Clinical Documentation & Data Accuracy — Nursing Practicum, Tansian University

Don't discloseClassificationClassification

Recorded, cross-checked, and classified clinical patient information with a strong focus on accuracy and zero-tolerance for error. Practiced structured classification of clinical information such as symptoms, drug profiles, and care categories following standard clinical protocols. Performed error-checking and verification activities analogous to rigorous data annotation workflows in medical contexts. • Captured and verified patient data, vitals, and care plans • Classified clinical information into structured categories (symptoms, drugs, care) • Followed SOPs and clinical protocols with emphasis on correctness • Conducted documentation review/cross-checking to minimize errors

2023 - Present

Education

N

N/A

Student, N/A

Student
Not specified

Work History

J

Jany Ai Studio (Self-managed brand) (

Content Creator & AI Output Reviewer

Anambra State
2024 - Present