Samuel G.

Key Skills

Software

Appen

CloudFactory

Data Annotation Tech

Playment

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Classification

Mapping

Text Generation

Freelancer Overview

I have extensive experience in data labeling and AI training data preparation, particularly in projects involving computer vision and image generation. My work has included curating high-quality datasets for image classification, segmentation, and generative models (e.g., GANs and diffusion models), with a strong emphasis on mathematical accuracy and consistency. I’ve labeled and validated data across domains like medical imaging, autonomous vehicles, and synthetic data generation, ensuring alignment with ground truth and statistical integrity. My background in mathematics—especially linear algebra, probability, and optimization—enables precise annotation strategies and deeper understanding of model training behaviors. A key strength is my ability to bridge technical understanding with quality control, optimizing workflows using Python-based tools (e.g., Label Studio, CVAT) and automation scripts to scale data pipelines. I’ve also contributed to fine-tuning image generation models, evaluating outputs using perceptual metrics (like FID and SSIM), and guiding iterative dataset refinement. My attention to edge cases, data bias, and distribution balance helps ensure robustness in downstream AI performance.

Labeling Experience

Graduate Level Mathematics Labeling.

AppenTextText Generation

To provide prompts of graduate level mathematics and to ensure the LLMs generations were incorrect.

2023 - 2024

Education

Work History