For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Castro Palmira

Castro Palmira

Data Annotator - Machine Learning & AI

USA flag
Phoenix, Usa
$20.00/hrExpertAppenClickworkerCloudfactory

Key Skills

Software

AppenAppen
ClickworkerClickworker
CloudFactoryCloudFactory
CVATCVAT
HastyHasty
iMeritiMerit
MercorMercor
RemotasksRemotasks
SamaSama

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor
AudioAudio
DocumentDocument
Geospatial Tiled ImageryGeospatial Tiled Imagery
ImageImage
TextText
VideoVideo

Top Label Types

Bounding Box
Polygon
Text Generation
Text Summarization
Transcription

Freelancer Overview

I am a results-driven data annotator and subject matter expert with several years of experience delivering high-quality labeled datasets for machine learning and AI applications. My background spans image, video, text, and audio annotation for diverse domains such as computer vision, sentiment analysis, and speech recognition. I have consistently achieved accuracy rates above 98%, streamlined annotation workflows, and led quality assurance efforts to ensure data integrity. Skilled in using a variety of annotation tools, I have also mentored new annotators and collaborated with cross-functional teams to optimize project outcomes. My strong attention to detail, problem-solving abilities, and commitment to operational excellence enable me to consistently deliver reliable training data that improves AI model performance.

ExpertEnglishSpanishSwahiliFrenchSomali

Labeling Experience

CVAT

Subject Matter Expert

CVATVideoBounding BoxPolygon
I worked on large-scale data annotation projects focused on natural language processing (NLP) and linguistic evaluation for both Swahili and English datasets, covering tasks such as text classification, sentiment analysis, intent recognition, named entity recognition (NER), and content moderation. I managed the full annotation lifecycle by reviewing guidelines, accurately labeling and validating data, conducting QA reviews on peer work, and flagging edge cases to improve guidelines. The projects involved thousands of data points per batch and were completed in collaboration with distributed teams. To maintain high standards, we followed strict quality control processes, including inter-annotator agreement checks, random QA audits, continuous feedback and retraining, and consistency checks against guidelines, ensuring high accuracy, cultural relevance, and linguistic correctness across all deliverables.

I worked on large-scale data annotation projects focused on natural language processing (NLP) and linguistic evaluation for both Swahili and English datasets, covering tasks such as text classification, sentiment analysis, intent recognition, named entity recognition (NER), and content moderation. I managed the full annotation lifecycle by reviewing guidelines, accurately labeling and validating data, conducting QA reviews on peer work, and flagging edge cases to improve guidelines. The projects involved thousands of data points per batch and were completed in collaboration with distributed teams. To maintain high standards, we followed strict quality control processes, including inter-annotator agreement checks, random QA audits, continuous feedback and retraining, and consistency checks against guidelines, ensuring high accuracy, cultural relevance, and linguistic correctness across all deliverables.

2020 - 2025

Education

A

ALX Africa

Certificate, Virtual Assistant

Certificate
2024 - 2024
E

eMobilis

Certificate, Digital Marketing

Certificate
2022 - 2022

Work History

R

Remotask

Data Reviewer

Phoenix
2020 - 2025