Meagan H.

Key Skills

Software

Appen

Scale AI

Lionbridge

Clickworker

Anno-Mage

AWS SageMaker

Axiom AI

Argilla

Datature

Datumbox

Datasaur

Datatroniq

Encord

Doccano

Diffgram

Humanatic

Kili Technology

Img Lab

iMerit

OpenCV AI Kit (OAK)

Top Subject Matter

Search quality evaluation

online content relevance

cultural appropriateness

Top Data Types

Text

Document

Image

Top Task Types

Fine-tuning

Bounding Box

Polygon

Classification

Segmentation

Entity (NER) Classification

Point/Key Point

Polyline

Cuboid

Text Generation

Object Detection

Question Answering

RLHF

Text Summarization

Red Teaming

Evaluation/Rating

Transcription

Freelancer Overview

AI Data Rater | Appen Inc.. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Scale AI, and Lionbridge. Education includes Master of Science, University of Southern California (2022) and Bachelor of Science, Arizona State University (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

AI Data Rater | Appen Inc.

AppenText

Evaluated AI-generated search results, advertisements, and online content for relevance, accuracy, and cultural appropriateness within large-scale ML projects. Maintained a 98% quality accuracy score while completing 4,500+ evaluation tasks monthly under strict turnaround timelines. Contributed labeled evaluation data used to improve NLP model precision and search ranking performance for enterprise AI clients. • Judged search relevance and content appropriateness against provided criteria • Performed multilingual policy-compliance checks with remote QA support • Applied evolving evaluation guidelines and interpretation of instructions • Ensured SLA adherence through strict quality and productivity targets

2023 - Present

AI Training Specialist | Scale AI

Scale AITextFine-tuning

Annotated, categorized, and validated complex datasets supporting supervised learning initiatives for generative AI and LLM model development. Improved annotation consistency by 27% through documentation and calibration feedback sessions. Conducted QA reviews on AI-generated outputs to identify hallucinations, bias, and content integrity issues. • Performed dataset labeling for LLM training pipelines • Executed validation and consistency checks during calibration • Flagged hallucination and bias risks during QA • Assisted onboarding and maintained contributor productivity standards

2021 - 2023

Online Content Analyst | Lionbridge Technologies

LionbridgeText

Reviewed web content, search engine results, and digital advertisements to ensure alignment with client quality standards and policy guidelines. Processed 1,200+ evaluation tasks weekly with consistent attention to detail. Delivered actionable feedback that improved content relevance scoring accuracy and enhanced AI recommendation systems. • Rated and assessed digital content against policy and quality criteria • Performed search result evaluation and relevance scoring • Monitored throughput using productivity dashboards and reporting tools • Provided feedback loops to improve downstream AI recommendation quality

2019 - 2021

Education

Work History