Joseph M.

Key Skills

Software

Label Studio

Scale AI

Other

Top Subject Matter

LLM alignment and dataset annotation (NER, sentiment, RLHF scoring)

NLP dataset preparation and labeling quality assurance

Top Data Types

Text

Image

Top Task Types

RLHF

Freelancer Overview

Data Labelling Specialist — Open Train AI (Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Scale AI, and Internal. Education includes Bachelor of Science, University of Alabama (2024) and Certification, DeepLearning.AI (2023). AI-training focus includes data types such as Text and labeling workflows including RLHF, Computer Programming, and Coding.

Labeling Experience

Data Labelling Specialist — Open Train AI (Remote)

Label StudioTextRLHF

Annotated and labeled text, image, and audio samples to support LLM fine-tuning pipelines with response ranking and scoring. Applied RLHF techniques to align AI-generated responses using human feedback-based evaluation signals. Maintained high annotation consistency across multi-annotator workflows and improved alignment quality through metric-driven review. • Labelled 50,000+ samples for LLM fine-tuning. • Ranked and scored AI responses for alignment training. • Sustained 96%+ consistency scores while reducing inter-rater disagreement by 18%. • Developed and refined labeling guidelines and ontologies with ML engineers.

2024 - Present

AI Research Assistant (Intern) — University of Alabama AI Research Lab

OtherText

Curated and cleaned a 10,000-sample NLP dataset for low-resource language modeling research. Performed multi-step dataset validation and preprocessing to resolve labeling issues and improve training readiness. Automated format conversion and deduplication workflows to ensure consistent, high-quality examples for downstream modeling. • Cleaned a 10,000-sample NLP dataset for low-resource language modeling. • Wrote Python scripts for validation, deduplication, and format conversion (JSON/CSV/JSONL). • Identified and resolved 200+ labeling inconsistencies via weekly quality reporting. • Supported data quality monitoring for the AI research lab.

2023 - 2023

Education

Work History