Masahiro Yuki Medina

Key Skills

Software

Remotasks

Scale AI

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Geospatial Tiled Imagery

Video

Top Task Types

Cuboid

Mapping

Point Key Point

Polygon

Polyline

Freelancer Overview

I’m an experienced Data Analyst and Data Annotator with several years of hands-on work supporting AI and machine learning systems, particularly in autonomous driving and geospatial projects. My background includes extensive object labeling, LiDAR annotation, image and video annotation, and GIS-based data analysis. I’ve worked on large-scale AI training datasets where precision, consistency, and attention to detail were non-negotiable, helping ensure high-quality inputs for model training and validation. Beyond annotation, I’ve served in quality assurance and analyst roles, reviewing and correcting datasets to achieve near-perfect accuracy while providing structured feedback to improve team performance. I’m highly adaptable, quick to learn new annotation tools and guidelines, and comfortable working with complex spatial data. My strengths sit at the intersection of technical accuracy, analytical thinking, and process improvement—making me a strong fit for data labeling, AI training data, and quality-focused annotation projects.

Labeling Experience

LiDAR Annotation of Vehicles and Traffic Lights/Signs

Scale AI3D SensorCuboidRelationship

I annotate vehicles, traffic signs, and traffic lights, covering both static and dynamic objects captured across 1,000+ frames with LiDAR point data. My work requires strict adherence to annotation guidelines, including minimum point thresholds, to ensure high-quality training data for autonomous driving models. These tasks are often time-sensitive, with tight deadlines spanning only a few days. Consistently meeting these demands has strengthened my adaptability, focus, and ability to work long hours while maintaining accuracy and productivity throughout extended work sessions.

I annotate vehicles, traffic signs, and traffic lights, covering both static and dynamic objects captured across 1,000+ frames with LiDAR point data. My work requires strict adherence to annotation guidelines, including minimum point thresholds, to ensure high-quality training data for autonomous driving models. These tasks are often time-sensitive, with tight deadlines spanning only a few days. Consistently meeting these demands has strengthened my adaptability, focus, and ability to work long hours while maintaining accuracy and productivity throughout extended work sessions.

2020 - 2025

GIS Mapping

Scale AIGeospatial Tiled ImageryPolygonPoint Key Point

I annotate road environments for autonomous driving systems, ensuring all labels align with the traffic laws and driving behaviors of the scenario’s country of origin. My work includes complex roadway structures such as multi-lane roads and large intersections, where accurate lane mapping and correct traffic light–to–lane relationships are critical. One of the most challenging tasks involves annotating large intersections with hundreds of interconnected elements, including lanes, signals, and traffic controls. I consistently handle scenarios with 800+ annotations while maintaining 100% accuracy, fully aware that precision is essential for the safety of both autonomous vehicle users and surrounding pedestrians and drivers.

I annotate road environments for autonomous driving systems, ensuring all labels align with the traffic laws and driving behaviors of the scenario’s country of origin. My work includes complex roadway structures such as multi-lane roads and large intersections, where accurate lane mapping and correct traffic light–to–lane relationships are critical. One of the most challenging tasks involves annotating large intersections with hundreds of interconnected elements, including lanes, signals, and traffic controls. I consistently handle scenarios with 800+ annotations while maintaining 100% accuracy, fully aware that precision is essential for the safety of both autonomous vehicle users and surrounding pedestrians and drivers.

2019 - 2025

Transcriber

Internal Proprietary ToolingAudioText SummarizationEvaluation Rating

I transcribe audio recordings such as meetings, interviews, and discussions with a strong focus on accuracy, clarity, and proper formatting. I consistently deliver 100% accurate transcripts by carefully following transcription guidelines, speaker identification rules, and confidentiality standards.

I transcribe audio recordings such as meetings, interviews, and discussions with a strong focus on accuracy, clarity, and proper formatting. I consistently deliver 100% accurate transcripts by carefully following transcription guidelines, speaker identification rules, and confidentiality standards.

2017 - 2019

Education

Work History