Heather Hiett

Key Skills

Software

Scale AI

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Top Label Types

RLHF

Evaluation Rating

Freelancer Overview

I am a detail-oriented AI training and data annotation specialist with over three years of experience working on projects involving natural language processing and computer vision. My background includes evaluating and labeling text, images, and video datasets for leading AI companies such as Remotasks, Appen, Lionbridge, and Scale AI. I excel at following structured guidelines to produce high-quality, context-rich annotations and have a strong understanding of internet culture and digital trends. My skills include descriptive writing, quality assurance, and content analysis, which help me consistently deliver accurate training data that improves model performance. I thrive in fast-paced, remote environments and am dedicated to maintaining both productivity and quality standards.

Labeling Experience

AI Content Evaluator & Quality Assurance

Scale AITextRLHF

Analyzed AI-generated text and visual outputs to improve model accuracy and contextual understanding. Wrote detailed structured content aligned with strict annotation and quality guidelines. Conducted quality assurance reviews and flagged inconsistencies to maintain high-standard outputs.

Analyzed AI-generated text and visual outputs to improve model accuracy and contextual understanding. Wrote detailed structured content aligned with strict annotation and quality guidelines. Conducted quality assurance reviews and flagged inconsistencies to maintain high-standard outputs.

2023 - 2025

Multimodal Data Annotator

AppenImageEvaluation Rating

Annotated text, images, and video datasets specifically for large language and vision models. Performed quality control by reviewing peer submissions to ensure all data aligned with strict quality standards. Maintained high-volume productivity targets while consistently meeting accuracy thresholds

Annotated text, images, and video datasets specifically for large language and vision models. Performed quality control by reviewing peer submissions to ensure all data aligned with strict quality standards. Maintained high-volume productivity targets while consistently meeting accuracy thresholds

2022 - 2023

Education

Work History