Key Skills

Software

Appen

Remotasks

Scale AI

Top Subject Matter

Self driving car imagery

Evaluation in English LLM

Satellite Image classification

Top Data Types

Geospatial Tiled Imagery

Image

Text

Top Label Types

Classification

Data Collection

Evaluation Rating

Geocoding

Mapping

Freelancer Overview

Proficient in labeling diverse satellite image types (e.g., multispectral, hyperspectral, SAR) for various applications (e.g., land cover classification, object detection, change detection). Adept at using specialized annotation tools and platforms tailored for satellite imagery analysis. Possess a strong understanding of geospatial concepts and coordinate systems (e.g., WGS84, UTM). LLM Training Powerhouse: Deep understanding of how labeled data shapes LLM performance, ensuring efficient and targeted annotation efforts. Skilled in generating diverse and high-quality training prompts aligned with specific LLM objectives. Capable of evaluating LLM output and identifying areas for improvement based on labeling accuracy

Labeling Experience

Education

Work History