Maurice E.

Key Skills

Software

Label Studio

Other

Top Subject Matter

Sentiment and intent text classification dataset curation

LLM response evaluation and RLHF-style dataset/feedback for model improvement

Named Entity Recognition (NER) annotation for names

Top Data Types

Text

Top Task Types

Classification

RLHF

Freelancer Overview

Data Annotation Project | Independent AI Researcher | 2024 – Present. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Other. Education includes Professional Certificate, DeepLearning.AI and Professional Certificate, Google. AI-training focus includes data types such as Text and labeling workflows including Classification, RLHF, and Entity (NER).

Labeling Experience

NER Annotation Dataset | Freelance Data Annotator | 2024 – Present

OtherText

Tagged names, locations, and organizations across 300+ text samples for an NER annotation dataset. Maintained annotation consistency using self-defined style guidelines and applied the same labeling standards across examples. Focused on accurate entity identification to support downstream NLP tasks. • Tagged entities (names, locations, organizations) across 300+ samples • Applied self-defined style guidelines for consistent labeling • Ensured entity boundary/label consistency for dataset quality • Prepared annotated text for NER modeling or training use

2024 - Present

AI Response Evaluator | Independent AI Trainer | 2024 – Present

OtherTextRLHF

Evaluated and ranked AI-generated responses using RLHF-style comparison methods. Developed a quality rubric to assess accuracy, tone, and instruction-following behavior during model evaluation. Reviewed 100+ prompt-response pairs to provide feedback for model improvement. • Performed RLHF-style response comparisons and rankings • Created evaluation rubric covering accuracy, tone, and instruction-following • Reviewed 100+ prompt-response pairs for improvement feedback • Provided quality-focused evaluator guidance for model iteration

2024 - Present

Data Annotation Project | Independent AI Researcher | 2024 – Present

Label StudioTextClassification

Built and labeled a text classification dataset using Label Studio. Annotated 500+ sentences for sentiment and intent using consistent guidelines and exported datasets in JSON for machine learning training. Ensured adherence to annotation guidelines to maintain dataset quality. • Labeled sentiment and intent classes for 500+ sentences • Used Label Studio to create and manage labeling tasks • Followed consistent annotation guidelines/rubrics • Exported labeled data in JSON format for training

2024 - Present

Education

Work History