Lindell D.

Key Skills

Software

Appen

Scale AI

Top Subject Matter

AI and machine learning data preparation

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Entity (NER) Classification

Polygon

Polyline

Object Detection

Segmentation

Classification

Freelancer Overview

Data Labeling and AI Training Specialist. Brings 4+ years of professional experience in data annotation, AI training support, dataset preparation, and quality evaluation for machine learning systems. Core strengths include Labelbox and CVAT, with hands-on experience supporting structured data workflows and improving dataset accuracy for AI model performance. Education includes a Bachelor’s Degree in Computer Science from the University of Connecticut, 2018. AI-training focus includes data types such as images and text, and labeling workflows such as bounding box annotation, entity recognition (NER), classification, sentiment tagging, and structured data labeling for NLP and computer vision tasks.

Labeling Experience

Senior Data Annotation Specialist

AppenImageBounding Box

As a Senior Data Annotation Specialist at Appen, I annotated large scale datasets for AI training, including images, text, and video. I utilized bounding boxes, polygon annotation, and semantic segmentation to label visual data with high accuracy. My responsibilities included reviewing and correcting inconsistencies and collaborating with QA teams to ensure guideline compliance. • Maintained annotation standards above 95% accuracy. • Assisted in onboarding and training new annotators. • Managed workflows using tools like CVAT, SuperAnnotate, and Labelbox. • Coordinated closely with project managers for quality assurance.

2021 - Present

Data Labelling Associate

Scale AIImageBounding Box

As a Data Labelling Associate at Scale AI, I performed detailed text and image labeling for NLP and computer vision projects. I conducted sentiment analysis, entity tagging, and document classification to prepare data for AI training. My work included supporting data preprocessing and participating in calibration sessions to enhance consistency. • Labeled data according to client specifications and quality metrics. • Tracked assignments and results in detailed records for auditability. • Supported the QA process by reviewing peer annotated data. • Helped maintain high accuracy across diverse data labeling projects.

2019 - 2021

Education

Work History