Dennise M.

Key Skills

Software

Labelbox

Appen

Clickworker

Telus

Top Subject Matter

AI-generated content evaluation

dataset annotation

model training support

Top Data Types

Text

Video

Document

Top Task Types

Bounding Box

Classification

Text Generation

Object Detection

Transcription

Evaluation/Rating

Data Collection

Freelancer Overview

AI Data Evaluator — Independent Contractor (Remote). Brings 35+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, N, and A. Education includes Level One, Level Two, Chartered Insurance Professional (CAIB), Insurance Council of Alberta and Life Insurance Agent License, N/A (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Quality Control Analyst — Medavie Blue Cross (Remote)

Text

Worked as a quality control analyst auditing customer interactions to ensure compliance and quality standards. Focused on accuracy assurance and continuous improvement by generating feedback reports that raised performance scores. This role involved evaluating interaction quality and supporting data-driven process improvements. • Audited customer interactions for compliance and QA quality. • Delivered feedback reports to improve accuracy scores. • Collaborated with leadership on process improvements. • Ensured adherence to established quality and compliance expectations.

2023 - Present

AI Data Evaluator — Independent Contractor (Remote)

LabelboxText

Served as an AI data evaluator performing content assessment across multiple modalities (writing, audio, and video) and generating quality judgments. Rated outputs for factual accuracy, search intent, and tone quality while ensuring consistency with complex guidelines. Supported AI model training by delivering feedback and maintaining high performance metrics throughout the engagement. • Performed AI model comparisons across writing, audio, and video tasks. • Produced evaluation/rating judgments for accuracy, intent, and tone. • Performed categorization, tagging, and annotation of datasets. • Reported feedback for model training and fine-tuning while maintaining >98% accuracy.

2023 - Present

Education

Work History