Jilliian H.

Key Skills

Software

Other

Top Subject Matter

AI training data annotation and content quality review

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Image

Document

Top Task Types

Text Generation

Bounding Box

Text Summarization

Question Answering

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Classification

Segmentation

Transcription

Freelancer Overview

Results-driven AI Training and Data Annotation Specialist with experience in developing, labeling, and validating high-quality datasets for AI and machine learning models. Skilled in text annotation, data labeling, quality assurance, and content validation while ensuring accuracy, consistency, and adherence to project guidelines. Experienced in identifying grammar, structure, factual consistency, and style issues in both AI-generated and human-written content to support model improvement and fine-tuning. In addition to AI training experience, I bring a strong background in customer service and healthcare support, which strengthened my communication, analytical thinking, adaptability, and attention to detail. I am proficient in handling data-driven tasks, multitasking in fast-paced environments, and collaborating effectively with teams to deliver high-quality results. My combination of technical annotation skills, problem-solving abilities, and commitment to continuous learning allows me to contribute effectively to AI training and data operations projects.

Labeling Experience

Analyst [Level 2] — AI training dataset development and text labeling (Innodata Knowledge Services, Inc.)

TextText Generation

Worked as an AI/data annotation analyst supporting the creation and validation of AI training datasets. Labeled text-based inputs using established guidelines while ensuring quality, ethical compliance, and consistency. Also reviewed human-authored and AI-generated content to detect and correct linguistic and factual issues. • Annotated and labeled text data according to provided rules, quality standards, and ethical considerations • Developed and validated high-quality training datasets for AI model development and fine-tuning • Provided feedback and insights to improve workflow processes and data quality • Identified and corrected grammar, syntax, structure, factual consistency, and style problems

2024 - Present

Education

Work History