Tyler A.

Key Skills

Software

Mercor

AWS SageMaker

Appen

Telus

Toloka

Surge AI

SuperAnnotate

Snorkel AI

Scale AI

Remotasks

OneForma

Mindrift

Micro1

Label Studio

iMerit

Data Annotation Tech

Top Subject Matter

General AI/LM Training

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Audio

Top Task Types

Classification

Bounding Box

Segmentation

Object Detection

Text Generation

Text Summarization

RLHF

Transcription

Red Teaming

Prompt + Response Writing (SFT)

Evaluation/Rating

Computer Programming/Coding

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

MercorImageClassification

As an AI Training Specialist at Mercor AI, I evaluated and ranked AI-generated responses for helpfulness, accuracy, and quality across text, image, and conversational formats. I categorized and labeled visual content according to structured guidelines, tagging objects, scenes, activities, and other visual elements. I also participated in data collection and multimodal evaluation tasks covering text, image, and audio-visual content. • Used structured rubrics to provide detailed feedback and improvement recommendations. • Maintained accuracy scores above 87% while managing concurrent task streams. • Performed human preference ranking on over 10,000 response pairs using consistent criteria. • Achieved 92% accuracy in fact-checking and source verification across diverse topics.

2025 - 2026

Data Annotation Specialist | DataAnnotation.Tech | Remote

Data Annotation TechImageClassification

As a Data Annotation Specialist at DataAnnotation.Tech, I categorized and labeled images and videos with detailed tags covering objects, scenes, activities, and visual patterns. I evaluated AI-generated text and visual content for quality, coherence, and alignment with specific task requirements. I maintained high quality and inter-annotator agreement scores in a remote contractor environment. • Labeled over 50,000 annotation instances, identifying errors and improving dataset reliability. • Followed complex annotation guidelines across various and evolving task frameworks. • Maintained quality scores above 87% while managing substantial work volume. • Achieved 89% inter-annotator agreement on complex classification tasks.

2024 - 2025

Education

Work History