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D

Delva J.

AI Data Annotator (Contract)

USA flagKaty, Usa

Key Skills

Software

AppenAppen
ClickworkerClickworker
Data Annotation TechData Annotation Tech
MercorMercor
Label StudioLabel Studio
TelusTelus
TolokaToloka
Surge AISurge AI

Top Subject Matter

General AI/ML Tasks
Computer Vision
Natural Language Processing

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
SegmentationSegmentation
Bounding BoxBounding Box
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Red TeamingRed Teaming
Computer Programming/CodingComputer Programming/Coding
RLHFRLHF
Data CollectionData Collection
Fine-tuningFine-tuning
Text SummarizationText Summarization
Object DetectionObject Detection

Freelancer Overview

AI Data Annotator (Contract). Core strengths include Appen, Telus, and Other. Education includes Master of Science, University of California Los Angeles (2024) and Bachelor of Science, East Los Angeles Community College (2022). AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Personal Project: Chatbot Training Data Curation

OtherTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Curated and annotated conversational data to train and refine a prototype chatbot. Identified user intents and provided relevant prompt/response pairs to improve interaction quality. Experimented with prompt engineering for more natural AI conversations. • Produced sample dialogues for chatbot training. • Annotated user intents and expected responses. • Developed and refined prompt engineering strategies. • Tested annotated data for chatbot performance evaluation.

2024 - 2024
Appen

AI Data Annotator (Contract)

AppenAppenImageImageClassificationClassification

Annotated image datasets to contribute to training effective AI models in computer vision tasks. Applied detailed instructions and strict project guidelines when labeling diverse images. Supported model performance by ensuring labels were consistent and accurately reflected content. • Performed image categorization for AI system refinement. • Checked AI outputs on vision tasks for relevance and bias. • Liaised with global teams to ensure annotation consistency. • Met project deadlines and quality targets for visual data.

2023 - 2024
Appen

AI Data Annotator (Contract)

AppenAppenTextTextClassificationClassification

Annotated diverse text datasets for AI model training while ensuring project requirements were strictly followed. Validated AI-generated outputs for relevance, accuracy, and the mitigation of bias. Maintained high data quality standards by following detailed guidelines and feedback. • Labeled and reviewed classification and evaluation tasks for text data. • Collaborated remotely with global annotation teams. • Utilized annotation platforms to manage project workload. • Consistently achieved and maintained high data quality metrics.

2023 - 2024

Academic Project: Sentiment Analysis of Social Media Data

OtherTextTextClassificationClassification

Manually annotated a dataset of social media posts for sentiment to train a sentiment analysis model. Preprocessed and labeled text data to reflect positive, negative, and neutral categories. Ensured consistency and clarity in sentiment labels for academic evaluation. • Delivered annotated datasets for sentiment analysis. • Maintained accuracy in text classification tasks. • Coordinated with project team on data requirements. • Evaluated impact of data labels on model results.

2023 - 2023

Data Annotation Intern

OtherImageImageClassificationClassification

Labeled and quality-checked image data as part of an AI annotation internship. Closely followed guidelines to ensure accuracy and project satisfaction. Worked collaboratively with experienced annotators to deliver high-quality visual data labels. • Contributed to annotated image datasets for training. • Assisted senior staff with annotation quality reviews. • Developed foundational annotation and critique skills. • Advanced technical understanding of annotation platforms.

2023 - 2023

Education

U

University of California Los Angeles

Master of Science, Data Science

Master of Science
2022 - 2024
E

East Los Angeles Community College

Bachelor of Science, Computer Science

Bachelor of Science
2018 - 2022

Work History

T

Telus International

Data Analyst

Texas
2013 - 2014