Christopher H.

Key Skills

Software

Appen

CloudFactory

iMerit

Labelbox

Mercor

Micro1

Mindrift

OneForma

Top Subject Matter

General Knowledge/Multimodal AI Outputs

Computer Vision/Multimodal AI Datasets

Legal Services & Contract Review

Top Data Types

Text

Image

Video

Top Task Types

Classification

Bounding Box

Segmentation

Object Detection

Text Generation

RLHF

Red Teaming

Transcription

Evaluation/Rating

Computer Programming/Coding

Prompt + Response Writing (SFT)

Freelancer Overview

I am an experienced AI Data Annotator with 3+ years of hands-on work in data labeling, image and video annotation, text categorization, dataset cleaning, and AI output evaluation. I have labeled 50,000+ annotation instances, completed 10,000+ pairwise AI response comparisons, and maintained a 92% accuracy rate and quality scores above 87% across all projects. I hold a Bachelor of Arts in English Literature and am a native English speaker. I am reliable, detail-oriented, and consistent at following complex project guidelines independently in fully remote, high-volume annotation environments. I am available immediately and authorized to work in the United States.

Labeling Experience

AI Training Specialist | Mercor AI | Remote

MercorText

Served as an AI Training Specialist responsible for evaluating and ranking AI-generated responses across text, image, and conversational formats. Applied structured rubrics to assess helpfulness, accuracy, and quality, and provided feedback to inform model improvements. Conducted multimodal data collection and preference ranking, ensuring adherence to precise task guidelines. • Evaluated 10,000+ AI response pairs for helpfulness and accuracy • Maintained over 87% accuracy in independent quality scoring tasks • Delivered rubric-based recommendations for model refinement • Participated in fact-checking and source verification on diverse knowledge topics

2025 - 2026

Data Annotation Specialist | DataAnnotation.Tech | Remote

Data Annotation TechImageRLHF

Worked as a Data Annotation Specialist focused on categorizing and labeling images and videos with detailed tags. Consistently applied annotation guidelines to identify objects, scenes, and patterns, supporting high-quality dataset creation. Evaluated annotated data for correctness and coherence, contributing to overall data reliability. • Labeled and classified thousands of images and videos for AI dataset development • Verified over 50,000 annotation instances for quality and consistency • Achieved an 89% inter-annotator agreement score on complex classification tasks • Maintained accuracy in remote, flexible contractor settings

2024 - 2025

Education

Work History