Jessee M.

Key Skills

Software

Remotasks

Other

Top Subject Matter

NLP and domain-specific text annotation for LLM training (business, healthcare, finance, marketing, lifestyle, technology).

Freelance AI/ML data preparation

annotation support

Top Data Types

Text

Video

Top Task Types

Classification

Freelancer Overview

AI Data Trainer & Annotator (Remotask & Outlier). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks and Other. Education includes Bachelor of Procurement and Supplies Management, Muranga University of Technology (2020) and High School Diploma, Ithanga Secondary School (2015). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Freelance AI & Content Contributor (Fiverr & Upwork)

OtherText

Worked as a freelance AI and content contributor supporting AI/ML projects through data preparation and annotation-related tasks. Created structured textual datasets for model training and evaluation and provided revision feedback to enhance overall output quality. Participated in iterative improvement loops based on project needs and reviewer guidance. • Prepared and annotated text datasets for AI/ML workflows. • Built structured textual datasets tailored for training and evaluation. • Supplied detailed feedback and revisions to improve AI output quality. • Supported multiple projects with ongoing task-based contributions.

2019 - Present

AI Data Trainer & Annotator (Remotask & Outlier)

RemotasksTextClassification

Served as an AI data trainer and annotator for large-scale NLP datasets covering technology, healthcare, finance, business, and lifestyle domains. Produced labeled text resources to improve model accuracy through tagging, categorization, and structured annotations. Performed quality assurance with iterative feedback cycles to maintain accuracy and guideline compliance. • Generated and annotated large volumes of textual training data. • Applied precise tagging and categorization to support NLP and ML model learning. • Created domain-specific business and marketing labeled datasets (e.g., market analysis, financial projections, campaign performance). • Conducted QA reviews and collaborated with clients/project managers on annotation guidelines.

2023 - 2024

Education

Work History