John R.

Key Skills

Software

Scale AI

Don't disclose

Top Subject Matter

LiDAR sensor data annotation

3D annotation quality assurance for LiDAR/LSS

2D road lane quality review

Top Data Types

3D Sensor

Audio

Top Task Types

Point/Key Point

Freelancer Overview

Remotasks, Scale AI — 2D/3D LiDAR Annotator. Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Don't disclose. Education includes Bachelor of Science, Agro Industrial Foundation College of the Philippines (2016). AI-training focus includes data types such as 3D Sensor, Geospatial, and Tiled Imagery and labeling workflows including Point, Key Point, and Evaluation.

Labeling Experience

Flipside Digital Content Company, Inc. — 2D Lanes – Road QM/Reviewer

Don't disclose

Currently works as a 2D Lanes road quality reviewer for road-related imagery. Reviews lane-related annotations against rubric-based guidelines to ensure correct labeling for model training. Performs quality checks intended to improve accuracy and reduce labeling errors in the dataset. • Review 2D road lane annotations • Validate labeling against quality criteria • Identify and document labeling mistakes • Ensure reviewer decisions meet program standards

2025 - Present

Remotasks, Scale AI — 3D Annotation/LSS EQC Auditor

Scale AI3D Sensor

Served as a 3D annotation/LSS EQC auditor to evaluate annotation quality for LiDAR-based datasets. Checked labeled outputs against quality standards and helped identify inconsistencies for remediation. Ensured batches met acceptance criteria before progression in the labeling pipeline. • Audit 3D/LSS annotations for quality • Flag issues and guide corrections • Verify adherence to labeling standards • Contribute to dataset reliability for downstream use

2021 - 2025

Remotasks, Scale AI — 2D/3D LiDAR Annotator

Scale AI3D SensorPoint/Key Point

Worked as a 2D/3D LiDAR annotator using labeled point data from LiDAR sensor outputs. Focused on creating and verifying annotation quality for 2D/3D representations of the environment. Coordinated with auditing/review workflows to ensure label consistency across samples. • Annotate LiDAR data for 2D/3D views • Apply labeling guidelines to maintain accuracy • Review annotation outputs for consistency • Support dataset quality improvements

2020 - 2021

Education

Work History