Gideon Siele

Key Skills

Software

Data Annotation Tech

Remotasks

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Point Key Point

Polyline

Segmentation

Freelancer Overview

I have hands-on experience in AI training and data annotation through my work with Remotasks, where I contributed to supervised machine learning projects involving text, image, and classification tasks. My responsibilities included semantic labeling, bounding box annotation, content categorization, sentiment analysis, and quality assurance review, ensuring high inter-annotator agreement and strict adherence to evolving annotation guidelines. I also performed auditing and feedback tasks to improve dataset consistency and model readiness. My strengths include strong analytical reasoning, precision in handling edge cases, rapid adaptation to updated rubrics, and a clear understanding of how annotation decisions influence downstream model performance, bias mitigation, and generalization.

Labeling Experience

Data annotator

Data Annotation TechTextPoint Key PointPolyline

I have contributed to multiple AI training data projects focused on improving supervised machine learning model performance across natural language processing and computer vision tasks. My work involved annotating and categorizing large-scale datasets, performing semantic labeling, bounding box annotation, sentiment analysis, intent classification, and content moderation tagging. I consistently applied detailed project guidelines to ensure labeling accuracy, inter-annotator consistency, and high-quality model-ready datasets.

I have contributed to multiple AI training data projects focused on improving supervised machine learning model performance across natural language processing and computer vision tasks. My work involved annotating and categorizing large-scale datasets, performing semantic labeling, bounding box annotation, sentiment analysis, intent classification, and content moderation tagging. I consistently applied detailed project guidelines to ensure labeling accuracy, inter-annotator consistency, and high-quality model-ready datasets.

2025 - 2025

Education

Work History