Nolan B.

Key Skills

Software

Remotasks

Scale AI

Top Subject Matter

Multilingual NLP evaluation and AI content quality assurance

NLP dataset annotation for training

Peer training for annotation QA workflows (NLP)

Top Data Types

Text

Document

Top Task Types

Data Collection

Entity (NER) Classification

Freelancer Overview

AI Content Evaluator & QA Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks and Scale AI. Education includes Bachelor of Arts, California University of Pennsylvania (2015) and High School Diploma, Northview High School (2011). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

AI Peer Trainer – Remotasks

RemotasksTextData Collection

Provided peer training to new contributors involved in data annotation and QA workflows. Shared annotation standards and best practices to help improve consistency and labeling quality. Contributed to internal learning materials aimed at boosting contributor productivity and maintaining evaluation rigor. • Guided onboarding on annotation standards • Reviewed/mentored QA workflow execution • Supported continuous quality improvement through peer resources

2022 - 2022

Language Annotator (Scale AI)

Scale AITextData CollectionEntity (NER) Classification

Annotated and categorized large NLP datasets to support training and quality improvement of language models. Reviewed linguistic content for contextual, grammatical, and semantic accuracy while maintaining high-quality standards. Used spreadsheet-based workflows and annotation tools to manage dataset labeling and improve annotation consistency through QA reviews and feedback. • Labeled text with contextual/semantic considerations • Ensured grammar and meaning accuracy • Met productivity targets while performing QA-informed reviews

2019 - 2022

AI Content Evaluator & QA Specialist (Remotasks)

RemotasksText

Evaluated AI-generated outputs for accuracy, logic, consistency, and language quality in support of model improvement. Conducted detailed error analysis and provided structured feedback to improve model performance. Collaborated with QA and research teams to establish evaluation standards and contribute to large-scale AI alignment and content quality initiatives. • Assessed linguistic quality and reasoning soundness • Performed multilingual NLP evaluation and quality improvement • Supported content quality initiatives for AI alignment

2019 - 2022

Education

Work History