Agnes-Emem O.

Key Skills

Software

CVAT

Other

Top Subject Matter

LLM response evaluation and AI quality assurance

Video annotation for AI training

Computer vision dataset annotation

Top Data Types

Text

Video

Image

Document

Top Task Types

Tracking

Action Recognition

Freelancer Overview

AI Evaluator & Data Contributor (Freelance). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other and CVAT. Education includes Master of Science, Coventry University (2025). AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and Tracking.

Labeling Experience

Video Annotation Specialist (Remote)

CVATVideoTracking

Annotated and refined AI training datasets using CVAT, focusing on object tracking, motion labeling, and video classification tasks. Performed detailed left- and right-hand motion tracking with accurate timestamp synchronization across video sequences. Maintained high annotation precision and workflow consistency while meeting daily production and quality targets. • Tracked hand motions with timestamp-aligned labeling for live sequences. • Reviewed edge cases and escalated unclear scenarios to improve labeling standards. • Collaborated with remote teams to follow structured annotation guidelines. • Conducted quality assurance checks to ensure dataset reliability and consistency.

2026 - 2026

AI Evaluator & Data Contributor (Freelance)

OtherText

Evaluated AI-generated responses across diverse prompts and domains for accuracy, coherence, reasoning quality, and relevance. Applied structured scoring rubrics and evaluation guidelines to keep assessments consistent throughout the workflow. Identified hallucinations, logical inconsistencies, and weak reasoning patterns and provided concise written feedback to support model improvement. • Assessed factual accuracy and instruction adherence using rubric-based criteria. • Performed comparative analysis across multiple model outputs to select the most useful responses. • Delivered written feedback aligned with AI training and alignment goals. • Reviewed outputs for reasoning errors and alignment issues to improve quality.

2025 - 2026

Image & Video Annotation Specialist (Remote)

CVATVideoAction Recognition

Annotated large-scale image and video datasets to support computer vision and AI model training initiatives. Applied structured labeling guidelines in CVAT to tag objects, scenes, activities, and motion-based events with high accuracy. Conducted quality review checks to maintain annotation consistency across repetitive and detail-sensitive workflows. • Tagged objects, scenes, activities, and motion events using CVAT guidelines. • Performed consistency checks across large and repetitive labeling batches. • Flagged ambiguous samples and edge cases for clarification. • Optimized accuracy and efficiency for time-sensitive remote annotation tasks.

2025 - 2025

Education

Work History