Timothy B.

Key Skills

Software

Appen

Data Annotation Tech

iMerit

Label Studio

Mercor

Micro1

Mindrift

OneForma

Scale AI

Snorkel AI

Surge AI

Toloka

Telus

Top Subject Matter

General AI/ML Training Data

English Specialist

Prompt Evaluation

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Segmentation

Classification

Object Detection

Text Generation

RLHF

Transcription

Red Teaming

Text Summarization

Prompt + Response Writing (SFT)

Evaluation/Rating

Freelancer Overview

I have worked with AI Output Evaluation, Text Categorization, dataset cleaning, and image and video annotation for 3+ years and have deep expertise in this area. I have annotated 50,000+ annotation instances, performed 10,000+ pairwise AI response comparisons, and kept a 92% accuracy and quality scores over 87% in all projects. B.A (English Literature) from McGill University and I speak English fluently. I am dependable, detailed and consistent when working on complex projects in a fully-remote, high-volume annotation environment. I am ready to work and am authorized to work in the United States.

Labeling Experience

AI Training Specialist

MercorImageBounding Box

As an AI Training Specialist with Mercor AI, I applied structured annotation standards to label and tag images, videos, and text content according to project guidelines. I performed large-scale pairwise AI output comparisons and delivered annotated data while maintaining high accuracy rates and adherence to rubrics. My work included fact-checking and verification to ensure consistent data quality across multiple annotation streams. • Labeled diverse multimodal datasets including images, videos, and text. • Applied bounding boxes, classified content, and evaluated AI responses with structured rubrics. • Consistently achieved quality scores above 87% and sustained a 92% accuracy rate. • Managed annotation tasks independently in a fully remote environment.

2025 - 2026

Data Annotation Specialist

Data Annotation TechImageBounding Box

At DataAnnotation.Tech, I specialized in labeling images with bounding boxes around objects, people, and visual elements. I also categorized and tagged text by meaning, sentiment, and topic for entity recognition and sentiment analysis. My work ensured high-quality annotated datasets for AI training pipelines through careful cleaning and verification. • Labeled over 50,000 annotation instances for AI visual and text tasks. • Applied bounding box and text categorization for machine learning data preparation. • Achieved an 89% inter-annotator agreement score on complex classification assignments. • Consistently met daily throughput and quality standards independently.

2024 - 2025

Education

Work History