Francis Albert E.

Key Skills

Software

Remotasks

Top Subject Matter

AI/LLM model evaluation and annotation

Video recognition and analysis annotation

LiDAR annotation

Top Data Types

Image

Video

3D Sensor

Top Task Types

Action Recognition

Cuboid

Polygon

Segmentation

Object Detection

RLHF

Evaluation/Rating

Data Collection

Freelancer Overview

Data Annotation/LLM Specialist — Innodata, Philippines. Core strengths include Other and Remotasks. Education includes Bachelor of Marine Transportation, John B. Lacson University (2025). AI-training focus includes data types such as Image, Video, and 3D Sensor and labeling workflows including Evaluation, Rating, and Action Recognition.

Labeling Experience

Data Annotation/LLM Specialist — Innodata, Philippines

OtherVideoAction Recognition

Performed video recognition and analysis for annotation tasks during the Innodata engagement. Interpreted video content to extract relevant information for dataset labeling. Applied consistent labeling/evaluation procedures across video samples. • Analyzed video scenes for recognition • Extracted relevant observations for labels • Ensured consistency with task criteria • Supported supervised model improvements

2025 - 2026

Data Annotation/LLM Specialist — Innodata, Philippines

OtherImage

Provided AI-generated image evaluation as part of LLM/data annotation workflows at Innodata. Assessed image outputs to support quality checking and model improvement. Documented evaluation results according to task guidelines. • Evaluated AI-generated images for correctness • Followed rubric/guidelines for scoring • Contributed to dataset/model quality • Prepared outputs for downstream review

2025 - 2026

LiDAR Annotator — Remotasks

Remotasks3D SensorCuboid

Labeled LiDAR data by identifying and annotating objects and their attributes in 3D sensor point-cloud environments. Completed data cleaning steps as assigned to ensure labeling quality and usability. Applied labeling instructions to tag relevant objects consistently across samples. • Labeled objects with general and sub-attributes • Annotated wheels and pedestrians • Focused on objects in road and sidewalks • Performed assigned data-cleaning tasks

2020 - 2025

Education

Work History