Russel A.

Key Skills

Software

CVAT

Other

Label Studio

Scale AI

Top Subject Matter

Autonomous Vehicles/Robotics

Architecture/Interior Design

Robotics Domain Expertise

Top Data Types

3D Sensor

Document

Video

Text

Top Task Types

Segmentation

Action Recognition

Bounding Box

Cuboid

Text Generation

Text Summarization

Data Collection

Freelancer Overview

LiDAR Annotation – Anteater Project. Core strengths include CVAT, Other, and Label Studio. AI-training focus includes data types such as 3D Sensor, Document, and Video and labeling workflows including Segmentation, Evaluation, and Rating.

Labeling Experience

Outlier Contributor - AI Model Training

OtherText

As an Outlier Contributor, I participated in AI model training through consistent evaluation and provision of structured feedback on model outputs. My efforts aided in refining AI performance and reducing errors via detailed quality checks. This role required ongoing collaboration and adherence to rigorous annotation standards. • Evaluated and rated AI model outputs for language tasks. • Provided structured feedback and analysis of errors. • Assisted with annotation guideline improvements. • Ensured consistent data quality across tasks.

2024 - Present

Robotics – Aloha OTS Project (Action Annotation)

Label StudioVideoText Generation

I supported the Aloha OTS Project by labeling and annotating robot movements to enhance AI recognition of actions. This involved tracking and categorizing sequences in robotics videos to teach AI precise task performances. The annotations enabled improvement of behavioral models for robotic systems. • Labeled video segments showcasing robotic actions. • Applied action recognition criteria during annotation. • Ensured temporal accuracy for movement sequences. • Collaborated with technical teams to improve model output.

2025 - 2026

Gen AI - Floorplan Project (Data Annotation & Evaluation)

OtherImageBounding Box

I assisted in refining AI-generated floorplans to enhance layout accuracy and practical use within the Floorplan Project. Tasks included evaluating, correcting, and providing structured feedback on the AI’s design outputs. This improved the overall user value of AI-generated interior plans. • Reviewed and evaluated AI-created floorplans for errors. • Provided targeted feedback on usability and accuracy. • Collaborated to refine labeling criteria for design evaluation. • Ensured data quality through ongoing QA processes.

2024 - 2025

LiDAR Annotation – Anteater Project

CVAT3D SensorSegmentation

I provided comprehensive labeling support for 3D point cloud data as part of the Anteater Project to improve AI and autonomous system performance. I ensured high-quality segmentation and precise annotation of objects in the datasets. My work contributed to the accuracy and reliability of machine learning algorithms for navigation tasks. • Labeled LiDAR point cloud data with attention to class boundaries. • Ensured data annotation quality and consistency across datasets. • Collaborated with team members on annotation standards. • Supported model evaluation by providing structured feedback.

2024 - 2024

Education

Work History