Carmoll M.

Key Skills

Software

CloudFactory

CVAT

Hasty

Mindrift

OneForma

Scale AI

Top Subject Matter

Self driving car imaginery

LLM evaluation

Satellite Image Classification

Top Data Types

3D Sensor

Image

Video

Top Task Types

Bounding Box

Cuboid

Point/Key Point

Polygon

Segmentation

Freelancer Overview

With over 4 years of dedicated experience in data labeling and AI training data, I have honed my expertise in using advanced annotation tools such as CVAT and SuperAnnotate. My work primarily involves meticulously labeling, tagging, and categorizing large datasets crucial for machine learning and AI projects. I have successfully collaborated with data science and engineering teams to enhance labeling processes, design new features, and ensure the integrity and consistency of data. My commitment to quality is demonstrated through rigorous quality assurance checks and the mentoring of junior annotators to maintain high standards. Strong organizational skills and a steadfast commitment to confidentiality complement my ability to work independently and within team settings. I have a proven track record of evaluating and analyzing productivity metrics to identify areas for process improvement, contributing to the continuous development of the platforms I work on. My data annotation proficiency, attention to detail, team collaboration, and mentorship skills set me apart as a reliable and efficient data annotator in the AI training data industry.

Labeling Experience

Falcon Video Boxing, Bee Lidar, Anteater 3d and 2d

Scale AIVideoBounding BoxPolygon

In my role as a Data Annotator at Remotask, I was involved in a comprehensive project aimed at developing a high-precision image recognition system for a leading AI company. The project entailed the annotation of an extensive dataset consisting of over 100,000 images to train machine-learning algorithms for object detection and classification.

In my role as a Data Annotator at Remotask, I was involved in a comprehensive project aimed at developing a high-precision image recognition system for a leading AI company. The project entailed the annotation of an extensive dataset consisting of over 100,000 images to train machine-learning algorithms for object detection and classification.

2019 - 2024

Education

Work History