Dianah G.

Key Skills

Software

Labelbox

Top Subject Matter

Generic AI/ML training data

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Image

Document

Top Task Types

Entity (NER) Classification

Classification

Freelancer Overview

Data Labeling Specialist. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox. Education includes Certified Fraud Examiner, Association of Certified Fraud Examiners and Bachelor of Arts, Karatina University (2021). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification and Classification.

Labeling Experience

Data Labeling Specialist

LabelboxTextEntity (NER) Classification

As a Data Labeling Specialist, I performed high-volume annotation for NLP and computer vision projects covering tasks such as named entity recognition, intent classification, sentiment labeling, and image bounding boxes. I followed strict annotation guidelines and contributed improvements based on real-world edge cases to boost overall consistency. I worked closely with ML engineers and QA teams to ensure label quality and facilitate active learning. • Handled text, audio, image, and video data for various supervised machine learning projects. • Implemented inter-annotator agreement and helped maintain labeling quality benchmarks. • Delivered annotated datasets in multiple formats with detailed documentation. • Used tools such as Labelbox, Scale AI, Prodigy, CVAT, and AWS SageMaker Ground Truth.

2022 - Present

Junior Data Annotator

LabelboxTextClassification

As a Junior Data Annotator, I labeled conversational transcripts for intent classification and slot-filling, working with multi-turn dialogues and correcting noisy transcript data. I managed both text and audio data for speech-to-text alignment to assist model training. I also performed basic image annotation for object detection projects. • Maintained daily throughput targets and delivered >95% QA accuracy. • Processed and verified hundreds of audio transcripts for speech models. • Annotated images with bounding boxes for ML datasets. • Collaborated on quality and productivity metrics tracking for annotation projects.

2020 - 2021

Education

Work History