Alexis D.

Key Skills

Software

Mercor

Labelbox

CVAT

Other

Top Subject Matter

Artificial intelligence and machine learning dataset preparation for computer vision (object tracking, segmentation, classification).

AI training data annotation for computer vision (detection, tracking) across images

Video Domain Expertise

Top Data Types

Video

Image

Top Task Types

Tracking

Object Detection

Classification

Freelancer Overview

Core strengths include Mercor, Labelbox, and CVAT. Education includes Master of Science, University of Alaska Anchorage (2023) and Bachelor of Science, University of Alaska Fairbanks (2021). AI-training focus includes data types such as Video and Image and labeling workflows including Tracking, Object Detection, and Classification.

Labeling Experience

AI Training Specialist, Mercor AI — Remote, USA (January 2024 – Present)

MercorVideoTracking

Annotated and labeled large-scale datasets for AI/ML training using video annotation workflows. Created tracking annotations across multiple frames to support object tracking and model learning. Performed corrections on AI-generated outputs to improve downstream model performance and dataset reliability. • Conducted frame-by-frame video annotation for tracked objects • Reviewed outputs and applied corrections following project guidelines • Completed quality assurance checks for accuracy and consistency • Collaborated to improve overall dataset quality

2024 - Present

Data Annotation Specialist, Handshake AI — Remote, USA (June 2022 – December 2023)

LabelboxImageObject Detection

Labeled image, video, and audio data to support machine learning and AI training systems. Produced structured annotations for computer vision models by annotating objects, environments, and actions. Performed dataset review to find errors and corrected labeling inconsistencies to improve training-data quality. • Completed high-volume labeling under strict deadlines • Performed object detection and tracking tasks using annotation tools • Conducted data validation to identify labeling errors • Prepared clean, structured datasets for AI model development

2022 - 2023

AI Data Labeling Associate, Scale AI Projects — Remote, USA (May 2021 – May 2022)

OtherVideoClassification

Created training datasets for AI and computer vision applications using image/video annotation standards. Annotated vehicles, people, products, and objects and applied YOLO and COCO labeling conventions. Performed data quality checks and dataset cleaning to ensure the final datasets were suitable for machine learning workflows. • Labeled objects in images and videos for computer vision models • Applied YOLO and COCO labeling standards consistently • Conducted quality assurance checks and dataset cleaning • Assisted in preparing datasets for machine learning model training

2021 - 2022

Education

Work History