Robert D.

Key Skills

Software

Clickworker

CloudFactory

Data Annotation Tech

OneForma

Mindrift

Scale AI

Snorkel AI

Top Subject Matter

NLP and computer vision dataset annotation

LLM RLHF and evaluation

AI tutoring and ML curriculum instruction

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Text Generation

Entity (NER) Classification

Freelancer Overview

Senior AI Trainer & Data Annotation Lead (DataMind AI Labs). Core strengths include Internal and Proprietary Tooling. Education includes Master of Science in Artificial Intelligence, Clark Atlanta University (2021) and Bachelor of Science in Computer Science, Morehouse College (2019). AI-training focus includes data types such as Text and labeling workflows including RLHF, Text Generation, and Entity (NER) Classification.

Labeling Experience

Senior AI Trainer & Data Annotation Lead (DataMind AI Labs)

TextRLHF

Designed and implemented RLHF pipelines for two production-grade LLMs, leveraging human feedback to improve response quality. Led large-scale NLP and computer vision dataset annotation workflows with standardized QA to maintain high inter-annotator consistency. Authored guidelines and rubrics to reduce labeling errors and accelerate onboarding for new annotators. • RLHF feedback generation and dataset refinement • QA rubric development and error-rate reduction • Inter-annotator agreement monitoring using Cohen's Kappa • Instruction-tuning edge-case prompt/response pair creation

2023 - Present

AI Tutor & Machine Learning Instructor (NxtGen Learning Institute)

TextText Generation

Developed and delivered an AI & Machine Learning bootcamp that included practical instruction on prompt engineering and model behavior. Created interactive Jupyter-based assignments and capstone projects mapped to real-world healthcare, finance, and education AI use cases. Provided personalized tutoring plans across beginner, intermediate, and advanced levels with an emphasis on applied ML workflows. • Prompt engineering instruction and practice projects • Jupyter Notebook assignment development • Capstone project creation aligned to domain use cases • Student mentoring and learning progression support

2022 - 2022

AI Research Assistant (Spelman-Morehouse AI Research Consortium)

TextEntity (NER) Classification

Annotated and preprocessed text samples for sentiment analysis and named entity recognition (NER) research projects. Supported model evaluation cycles by tracking benchmark performance using standard NLP metrics. Assisted in designing bias detection frameworks to evaluate fairness across demographic groups and contributed to dataset quality standards documentation. • Sentiment and NER annotation for research datasets • Data preprocessing for NLP experiments • Bias detection framework support across demographic groups • Performance tracking with F1, BLEU, ROUGE, and accuracy

2021 - 2022

Education

Work History