Uchenna D.

Key Skills

Software

Appen

CVAT

Labelbox

Mercor

SuperAnnotate

Toloka

Telus

Other

Clickworker

Top Subject Matter

AI Visual Content Assessment

Video Data for In-Game Action Recognition

Social Media Advertisement Classification

Top Data Types

Image

Text

Video

Audio

Top Task Types

Action Recognition

Classification

Entity (NER) Classification

Evaluation/Rating

Segmentation

Emotion Recognition

Freelancer Overview

AI Data Analyst / Visual Content Annotator. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Telus, and Outlier. Education includes Bachelor of Science, University of Maryland, College Park. AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Evaluation, Rating, and Action Recognition.

Labeling Experience

AI Visual Content Rater (Project Aether)

Image

Compared multiple AI-generated images for prompt adherence and visual correctness as part of Project Aether with Outlier AI. Detected hallucinations, artifacts, and anatomical inconsistencies within generative outputs. Conducted thorough reviews to ensure models meet intended visual standards and output fidelity. • Compared generated images for task accuracy • Flagged hallucinations and visual artifacts • Used specified evaluation protocols • Provided clear summaries of findings

2026 - 2026

Linguist & Audio/Visual QA Specialist

TelusAudioEmotion Recognition

Analyzed audio-visual content for emotional accuracy, tone alignment, and contextual meaning. Evaluated synchronization between speech, visuals, and timestamps to improve AI's understanding of multimedia human communication. Provided comprehensive quality reports to enhance model performance and user experience. • Checked alignment of speech and visual cues • Identified emotional cues for annotation • Flagged mismatches in audio-visual synchronization • Supplied feedback for algorithmic enhancement

2024 - 2025

Visual Content Evaluator (Project IVY)

AppenImage

Analyzed AI-generated images for limb fractures, facial defects, and body distortions in Project IVY. Flagged visual anomalies affecting realism and structural accuracy using precise evaluation protocols. Supported AI training by providing feedback on failure cases to improve models. • Conducted anomaly detection in generative imagery • Flagged structural and anatomical issues • Applied detailed visual assessment methods • Provided corrective feedback to model developers

2021 - 2025

Moderator / Content Classifier (Project Ogden)

AppenImageClassification

Reviewed Facebook ads for offensive, misleading, or inappropriate content under Project Ogden. Applied strict classification guidelines to make evidence-based moderation decisions. Ensured outputs align with community standards and compliance requirements. • Evaluated ads for policy adherence • Flagged inappropriate or misleading content • Used structured moderation frameworks • Documented rationale for all decisions

2021 - 2025

AI Data Analyst / Visual Content Annotator

AppenImage

Evaluated AI-generated and real-world images and videos for quality, realism, and contextual accuracy using structured frameworks. Conducted thorough assessments of object placement, composition, lighting, and coherence across visual datasets. Identified and flagged inconsistencies, distortions, and quality gaps to ensure data integrity. • Maintained high accuracy and consistency on large-scale annotation projects • Provided detailed written justifications for evaluative decisions • Used guideline-based frameworks to ensure uniformity across tasks • Supported global AI platforms with ongoing dataset refinement

2021 - 2025

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Education

Work History