Amanda M.

Key Skills

Software

Appen

Labelbox

Lionbridge

Remotasks

Top Subject Matter

Natural Language Processing

Llms Domain Expertise

AI Output Evaluation

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

Senior AI Data Trainer and Content Evaluator. Core strengths include Appen, Labelbox, and Lionbridge. Education includes Master of Arts, University of North Florida (2022) and Bachelor of Science, University of North Florida (2016). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Senior AI Data Trainer and Content Evaluator

LabelboxImageClassification

I performed image labeling and multimedia assessment tasks as part of AI training initiatives. My work included categorizing images and evaluating visual content for AI datasets. I ensured high labeling accuracy and contributed to multimedia content moderation. • Used annotation platforms for image and multimedia evaluation. • Collaborated on projects requiring detailed image classification. • Maintained consistent quality and labeling standards. • Monitored dataset integrity across visual assets.

2018 - Present

Senior AI Data Trainer and Content Evaluator

AppenText

As a Senior AI Data Trainer and Content Evaluator, I evaluated and ranked AI-generated text outputs for accuracy, coherence, and safety. I applied structured rubrics to assess reasoning quality and identify hallucinations in language model responses. I provided feedback to improve model reliability and maintained a high-quality benchmark across projects. • Worked on structured evaluation frameworks to review AI outputs. • Conducted quality assurance and data validation tasks. • Provided feedback to enhance AI model reasoning. • Passed advanced AI research task qualifications.

2018 - Present

AI Content Moderator and Quality Analyst

RemotasksImageClassification

In my role as an AI Content Moderator and Quality Analyst, I handled image dataset reviews for labeling accuracy and compliance. I validated images for proper classification and contributed to quality assurance in multimedia datasets. I addressed inconsistencies and maintained data integrity for image-based AI training. • Managed image dataset validation processes. • Ensured multimedia labeling accuracy and compliance. • Collaborated on image-specific content moderation projects. • Maintained integrity of visual AI datasets.

2016 - 2018

AI Content Moderator and Quality Analyst

LionbridgeTextClassification

As an AI Content Moderator and Quality Analyst, I reviewed text datasets for compliance and accuracy. I identified inconsistencies and policy violations in training data for machine learning optimization. I supported dataset validation and quality control processes. • Collaborated on distributed teams in asynchronous settings. • Maintained quality control documentation and reports. • Identified and flagged content classification errors. • Supported large-scale machine learning data initiatives.

2016 - 2018

Education