Gideon Isaac

Key Skills

Software

Appen

CrowdSource

CVAT

Labelbox

OneForma

SuperAnnotate

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Action Recognition

Bounding Box

Evaluation Rating

Point Key Point

Prompt Response Writing SFT

Freelancer Overview

I am an experienced AI Data Labeling and Annotation Specialist with 3+ years of hands-on experience in video, image, and text data annotation for machine learning and AI training. I have successfully labeled over 10,000 assets, ensuring high-quality datasets that enhance AI model accuracy and performance. My expertise spans computer vision, natural language processing, and LLM evaluation, with a strong focus on precision, consistency, and meeting project deadlines. I excel in video annotation, image classification, and AI data quality assurance, applying rigorous standards to verify model outputs and optimize training data. My experience includes collaborating with cross-functional teams to integrate labeled datasets into AI pipelines and improve model performance. Known for attention to detail and problem-solving, I bring a combination of technical proficiency and a passion for enabling AI systems to learn effectively.

Labeling Experience

Video Annotation for AI Model Training

SuperannotateVideoClassificationText Generation

Worked on a large-scale AI training project involving video and image annotation for object detection and tracking in autonomous vehicle datasets. Labeled over 10,000 frames and images, applying bounding boxes, polygons, and classifications to ensure AI models could accurately identify objects, obstacles, and scenes. Ensured strict adherence to project guidelines, maintained high accuracy, and collaborated with QA teams to verify annotations. Delivered datasets that significantly improved model performance and reliability across multiple AI pipelines.

Worked on a large-scale AI training project involving video and image annotation for object detection and tracking in autonomous vehicle datasets. Labeled over 10,000 frames and images, applying bounding boxes, polygons, and classifications to ensure AI models could accurately identify objects, obstacles, and scenes. Ensured strict adherence to project guidelines, maintained high accuracy, and collaborated with QA teams to verify annotations. Delivered datasets that significantly improved model performance and reliability across multiple AI pipelines.

2024

PCC (Pairwise Caption Comparison) Evaluation Specialist

OtherTextEvaluation RatingPrompt Response Writing SFT

Performed Pairwise Caption Comparison (PCC) to evaluate AI-generated captions for images, rating them based on accuracy, hallucination, conciseness, and relevance. Analyzed multiple caption pairs per image, identified errors or inconsistencies, and provided structured feedback to improve AI model outputs. Ensured high-quality evaluations that guided training and fine-tuning of multimodal AI systems.

Performed Pairwise Caption Comparison (PCC) to evaluate AI-generated captions for images, rating them based on accuracy, hallucination, conciseness, and relevance. Analyzed multiple caption pairs per image, identified errors or inconsistencies, and provided structured feedback to improve AI model outputs. Ensured high-quality evaluations that guided training and fine-tuning of multimodal AI systems.

2025 - 2025

Image Recognition & Classification Specialist

TelusImageClassificationObject Detection

Performed image recognition and classification tasks for Telus AI projects. Labeled and categorized thousands of images with high accuracy, ensuring datasets were reliable for training computer vision models. Applied strict quality assurance standards and collaborated with QA teams to verify annotations, improving AI model performance and consistency.

Performed image recognition and classification tasks for Telus AI projects. Labeled and categorized thousands of images with high accuracy, ensuring datasets were reliable for training computer vision models. Applied strict quality assurance standards and collaborated with QA teams to verify annotations, improving AI model performance and consistency.

2024 - 2025

Stand-Alone Error Tagging Specialist

OtherImageClassificationQuestion Answering

Performed stand-alone error tagging to identify inaccuracies, inconsistencies, or hallucinations in AI-generated outputs across text, image, and video datasets. Applied structured labeling to highlight errors, categorize issues, and provide actionable feedback for model improvement. Ensured high accuracy and consistency, supporting AI model fine-tuning and overall reliability.

Performed stand-alone error tagging to identify inaccuracies, inconsistencies, or hallucinations in AI-generated outputs across text, image, and video datasets. Applied structured labeling to highlight errors, categorize issues, and provide actionable feedback for model improvement. Ensured high accuracy and consistency, supporting AI model fine-tuning and overall reliability.

2024 - 2025

Video & Audio Recording Specialist for AI Training

AppenVideoEntity Ner ClassificationObject Detection

Recorded high-quality video datasets for AI model training using Appen platform. Ensured proper framing, lighting, and content consistency according to project guidelines. Contributed to the creation of reliable and accurate datasets for tasks such as gesture recognition, object detection, and scene analysis, supporting AI system development and performance improvement.

Recorded high-quality video datasets for AI model training using Appen platform. Ensured proper framing, lighting, and content consistency according to project guidelines. Contributed to the creation of reliable and accurate datasets for tasks such as gesture recognition, object detection, and scene analysis, supporting AI system development and performance improvement.

2022 - 2023

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Education

Work History