Lucas Mccubbin

Key Skills

Software

Scale AI

Mindrift

Telus

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Bounding Box

Classification

Question Answering

Text Generation

Prompt Response Writing SFT

Evaluation Rating

Object Detection

Text Summarization

Freelancer Overview

I am an experienced AI trainer and data annotation specialist with over two years of hands-on work in image labeling, quality assurance, and dataset validation for machine learning systems. My background includes reviewing and correcting labeled data for leading platforms like Scale AI, Mindrift, TELUS International, and Appen, where I consistently ensured high accuracy and compliance with strict annotation guidelines. I am skilled in image-based question and answer verification, bounding box validation, and the creation of unambiguous, self-contained responses that meet editorial standards. My technical toolkit includes Label Studio, CVAT, Google Cloud Vertex AI, and various proprietary annotation platforms. With native-level English proficiency and a strong eye for detail, I excel at maintaining quality and consistency in large-scale computer vision and NLP projects, and I am comfortable working remotely with flexible availability.

Labeling Experience

AI Prompt & Dataset Contributor – Image Classification & QA

MindriftImageBounding BoxClassification

While working with Mindrift, I carried out image classification and bounding box validation tasks and ensured compliance with detailed client taxonomies. I authenticated annotation consistency across 1,000+ datasets and conducted formal QA audits using internal rating systems and editorial rubrics.

While working with Mindrift, I carried out image classification and bounding box validation tasks and ensured compliance with detailed client taxonomies. I authenticated annotation consistency across 1,000+ datasets and conducted formal QA audits using internal rating systems and editorial rubrics.

2024 - 2025

Quality Reviewer – Image & Visual QA Datasets

Scale AIImageBounding BoxClassification

In Scale AI, I did factual and labeling accuracy reviews of image to answer datasets, inaccurate responses, and clear responses were self-contained, grammatically correct, and unambiguous. I also helped with supervised fine-tuning datasets of visual-context interrogatives and followed strict style and content safety restrictions without any change in review rates. I applied workflows consistent with Google Cloud Vertex AI environments to support dataset validation, response refinement, and QA processes aligned with machine learning model training standards.

In Scale AI, I did factual and labeling accuracy reviews of image to answer datasets, inaccurate responses, and clear responses were self-contained, grammatically correct, and unambiguous. I also helped with supervised fine-tuning datasets of visual-context interrogatives and followed strict style and content safety restrictions without any change in review rates. I applied workflows consistent with Google Cloud Vertex AI environments to support dataset validation, response refinement, and QA processes aligned with machine learning model training standards.

2023 - 2025

Text & Image Annotation Specialist

AppenTextClassificationText Generation

I carried out text annotation activities at the Appen under guidance and quality parameters of annotation. I made sure to label with correctness, uniformity and in accordance with the project specific taxonomies to facilitate the quality AI training datasets. My work with Label Studio affirmed such classification, label review, and dataset correction workflows that were aimed at ensuring data accuracy and consistency in annotation.

I carried out text annotation activities at the Appen under guidance and quality parameters of annotation. I made sure to label with correctness, uniformity and in accordance with the project specific taxonomies to facilitate the quality AI training datasets. My work with Label Studio affirmed such classification, label review, and dataset correction workflows that were aimed at ensuring data accuracy and consistency in annotation.

2023 - 2024

Content Evaluator | Image Annotator

TelusImageClassificationQuestion Answering

During my experience with TELUS International through TELUS AI Rating Tools, I performed the following visual content review tasks; image classification, bounding box validation, and object detection tasks. These functions were also applied to frame-by-frame visual analysis procedures equivalent to video annotation procedures, where I reviewed visual information to be accurate and label similar. The experience I got with CVAT helped with structured validation of bounding boxes and object level review exercises that met the requirements of computer vision.

During my experience with TELUS International through TELUS AI Rating Tools, I performed the following visual content review tasks; image classification, bounding box validation, and object detection tasks. These functions were also applied to frame-by-frame visual analysis procedures equivalent to video annotation procedures, where I reviewed visual information to be accurate and label similar. The experience I got with CVAT helped with structured validation of bounding boxes and object level review exercises that met the requirements of computer vision.

2023 - 2024

Education

Work History