Maryln A.

Key Skills

Software

Other

Top Subject Matter

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Legal Research & Document Analysis

Top Data Types

Text

Document

Top Task Types

Classification

Segmentation

Point/Key Point

Entity (NER) Classification

Text Generation

Question Answering

Text Summarization

Transcription

Data Collection

Prompt + Response Writing (SFT)

Evaluation/Rating

Freelancer Overview

Legal & Contract Team Lead in Contract Review, Compliance, and Legal Research. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Education includes Bachelor of Laws, Bingham University (2025). Well suited for text-focused AI training, including legal document review, compliance annotation, and rubric-based quality evaluation.

Labeling Experience

AI Training & Data Labeling Contributor | Webastry Designs Remote Project-Based Role

TextClassification

Participated in data collection, categorization, and structuring activities for AI-powered digital solutions. Labeled and organized text, image, and social media datasets used for training intelligent systems. Conducted data validation and quality control checks to ensure annotation accuracy and consistency. Supported machine learning projects through content tagging, entity recognition, and classification tasks. Utilized analytical skills to identify patterns, trends, and anomalies within datasets. Worked with digital marketing and user behavior data to improve AI-driven content recommendations and automation processes.

2022 - Present

AI Data Annotation Specialist | Lumina Forms (Upwork) Remote Contract Role

TextClassification

Conducted large-scale data labeling and annotation tasks to support AI model training and machine learning workflows. Reviewed, categorized, and validated social media content datasets to improve data quality and model accuracy. Performed sentiment analysis, content classification, and metadata tagging across multiple digital platforms. Evaluated user-generated content against predefined guidelines, ensuring consistency and compliance with project standards. Identified and corrected annotation inconsistencies, contributing to improved dataset reliability and training outcomes. Collaborated with project teams to maintain high annotation accuracy rates and meet strict delivery deadlines. Assisted in quality assurance reviews to ensure labeled data met machine learning and natural language processing (NLP) requirements.

2025 - 2026

Education

Work History