Joshua P.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

LLM/NLP evaluation

AI safety

and model quality assurance

Top Data Types

Text

Top Task Types

Entity (NER) Classification

Freelancer Overview

AI Data Trainer (LLM, NLP & Reasoning Tasks) — AI Data Trainer / AI Data Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Diploma, ALX Fellowship (2022) and Bachelor of Arts, Grand Canyon University (2030). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

AI Data Support — structured dataset preparation and model evaluation support

OtherText

Prepared and validated structured datasets for AI model testing in community development projects. Cleaned and structured large datasets used for machine learning pipeline inputs and created dashboards to evaluate predictions against real-world community data. Supported standardized evaluation methods and contributed to statistical analysis that improved data-driven insights. • Cleaned, validated, and structured datasets for AI testing. • Evaluated model predictions against community or real-world data. • Supported development of standardized evaluation guidelines and tasks. • Produced analytics and dashboards to monitor prediction performance.

2025 - Present

AI Data Trainer (LLM, NLP & Reasoning Tasks) — AI Data Trainer / AI Data Specialist

Don't discloseText

Trained and evaluated LLM/NLP outputs for reasoning, conversation, summarization, classification, and problem-solving tasks. Produced structured feedback to improve accuracy, safety, and factuality and analyzed model responses to identify errors, hallucinations, logic gaps, and ethical issues. Designed prompt-based tasks and ranked multiple model outputs by quality. • Generated and refined evaluation criteria and prompt-based task definitions. • Assessed model behavior using safety and quality standards. • Identified and reported reasoning, factuality, and ethical issues in outputs. • Built structured datasets to support NLP and machine learning training pipelines.

2025 - Present

Lead Data Analyst (AI/ML Data Projects) — Data cleaning, annotation, and evaluation

Don't discloseTextEntity (NER) Classification

Led AI/ML data projects requiring preparation, cleaning, and annotation of structured and unstructured datasets for machine learning model development. Performed EDA to identify inconsistencies and data gaps, and evaluated annotations alongside model predictions with root-cause analysis. Collaborated with ML engineers to improve annotation guidelines and quality workflows for training and validation. • Cleaned and transformed datasets for downstream ML training. • Conducted EDA to surface inconsistencies and missing data. • Evaluated annotation quality and checked model predictions. • Improved annotation guidelines and data quality procedures with engineering teams.

2022 - 2024

Education

Work History