Craig Albertson

Key Skills

Software

Mercor

Top Subject Matter

Language Models/Natural Language Processing

Generalist

Shopify

Top Data Types

Text

Top Task Types

Data Collection

Freelancer Overview

I have experience working with AI training data through tasks involving data labeling, annotation, and quality evaluation across text-based and multimodal datasets. My work has included classifying content, audio generation and ensuring outputs meet specific guidelines for accuracy, safety, and coherence. I’ve contributed to projects that required careful attention to detail, consistency across large datasets, and the ability to interpret nuanced instructions—especially in areas like natural language understanding, conversational AI, and edge-case handling. What sets me apart is a combination of analytical thinking and practical QA experience. I approach data labeling not just as tagging, but as a structured evaluation process—identifying patterns, spotting inconsistencies, and improving dataset quality over time. My background in QA analysis strengthens my ability to detect subtle errors, follow complex specifications, and maintain high standards under tight deadlines. I’m also comfortable adapting to evolving guidelines, which is critical in fast-moving AI training environments.

Labeling Experience

AI Data Annotator (Contractor)

MercorText

As an AI Data Annotator at Mercor Corporation, I produced high-quality training and evaluation data for language models using my domain expertise and rigorous quality assurance practices. I maintained strong accuracy and throughput in a distributed team environment, always meeting project SLAs and deadlines. My work focused on applying clear and consistent labeling criteria to improve dataset reliability and language model performance. • Evaluated and labeled text-based data for machine learning model training • Identified and documented ambiguous or complex annotation cases • Collaborated with team members to ensure consistent labeling practices • Contributed to ongoing improvements of annotation guidelines and processes.

As an AI Data Annotator at Mercor Corporation, I produced high-quality training and evaluation data for language models using my domain expertise and rigorous quality assurance practices. I maintained strong accuracy and throughput in a distributed team environment, always meeting project SLAs and deadlines. My work focused on applying clear and consistent labeling criteria to improve dataset reliability and language model performance. • Evaluated and labeled text-based data for machine learning model training • Identified and documented ambiguous or complex annotation cases • Collaborated with team members to ensure consistent labeling practices • Contributed to ongoing improvements of annotation guidelines and processes.

2026 - Present

Education

Work History