Chantavia Lawson

Key Skills

Software

Appen

Clickworker

CrowdSource

CVAT

Data Annotation Tech

Doccano

Encord

Labelbox

Mercor

OneForma

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Data Collection

Emotion Recognition

Entity Ner Classification

Evaluation Rating

Geocoding

Mapping

Object Detection

Prompt Response Writing SFT

Question Answering

Relationship

RLHF

Segmentation

Text Generation

Text Summarization

Freelancer Overview

I am a detail-oriented AI data quality and annotation specialist with over four years of experience supporting machine learning projects. My expertise includes reviewing, labeling, and validating large, complex datasets across text and image domains to ensure data integrity for supervised learning. I have a strong track record of identifying edge cases, resolving data anomalies, and refining annotation guidelines in collaboration with engineering teams. Proficient in SQL, AWS, and industry-standard tools like Salesforce and HubSpot, I excel at translating technical requirements into clear documentation and process improvements. My background in data analysis, process optimization, and UX/UI principles allows me to deliver high-quality training data that drives more accurate and reliable AI models.

Labeling Experience

Multi-Challenge Rubrics Editing

LabelboxTextText GenerationText Summarization

Executed high-volume data annotation and labeling tasks across various data types (text, image) while consistently meeting or exceeding strict quality and volume quotas. Utilized strong technical and critical thinking skills to interpret and apply complex annotation guidelines used for testing and training AI models

Executed high-volume data annotation and labeling tasks across various data types (text, image) while consistently meeting or exceeding strict quality and volume quotas. Utilized strong technical and critical thinking skills to interpret and apply complex annotation guidelines used for testing and training AI models

2025

AI Data Quality Specialist

OtherAudioEvaluation RatingPrompt Response Writing SFT

Led Data Quality Assurance (QA) efforts by rigorously reviewing and validating large, complex datasets to ensure accuracy and consistency for machine learning (ML) model training. Provided critical feedback and suggested rule-set adjustments to engineering and project teams, significantly enhancing annotation guidelines and improving data ingestion pipelines. Applied expertise in analyzing data patterns to identify and resolve edge cases and data anomalies, reducing errors in supervised learning datasets.

Led Data Quality Assurance (QA) efforts by rigorously reviewing and validating large, complex datasets to ensure accuracy and consistency for machine learning (ML) model training. Provided critical feedback and suggested rule-set adjustments to engineering and project teams, significantly enhancing annotation guidelines and improving data ingestion pipelines. Applied expertise in analyzing data patterns to identify and resolve edge cases and data anomalies, reducing errors in supervised learning datasets.

2022

AI Data Annotator

TelusImageRelationshipQuestion Answering

Executed high-volume data annotation and labeling tasks across various data types (text, image) while consistently meeting or exceeding strict quality and volume quotas. Utilized strong technical and critical thinking skills to interpret and apply complex annotation guidelines used for testing and training AI models

Executed high-volume data annotation and labeling tasks across various data types (text, image) while consistently meeting or exceeding strict quality and volume quotas. Utilized strong technical and critical thinking skills to interpret and apply complex annotation guidelines used for testing and training AI models

2023 - 2025

Education

Work History