Joseph M.

Key Skills

Software

Label Studio

Other

Top Subject Matter

Multimodal dataset labeling for AI training and model evaluation

LLM prompt evaluation and dataset creation for supervised fine-tuning

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

Label Studio · Scale AI Data Annotation Specialist & AI Training Contributor (Remote). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Other. Education includes Diploma in Computer Science, CBET (ICT and Computing) (2024). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Prompt Engineer & Response Evaluator · Freelance AI Content Projects (Remote)

OtherPrompt + Response Writing (SFT)

Provided AI training support by constructing diverse adversarial prompts to test large language models across multiple domains. Evaluated model responses using rubrics for fluency, factual accuracy, instruction-following, and safety compliance. Authored structured feedback reports and delivered supervised fine-tuning-ready prompt–response datasets. • Stress-tested LLMs with prompts spanning creative, factual, coding, and reasoning tasks. • Performed evaluation and scoring against quality and safety rubrics. • Wrote detailed feedback reports to enable model development improvements. • Delivered structured datasets formatted for SFT pipeline use.

2024 - Present

Label Studio · Scale AI Data Annotation Specialist & AI Training Contributor (Remote)

Label StudioText

Delivered AI training data by generating and labeling structured content according to client guidelines. Rated and evaluated model outputs for accuracy, safety, and helpfulness, flagging policy violations and edge cases. Maintained consistently high quality on audited tasks while iterating based on feedback. • Produced labeled text, image, audio, and video datasets for computer vision and NLP model training. • Applied project-specific annotation standards including bounding boxes, polygon segmentation, NER, and sentiment tagging. • Participated in RLHF by rating and ranking AI responses to improve LLM alignment. • Evaluated chatbot and search outputs and escalated identified issues for review.

2023

Education

Work History