Felista W.

Key Skills

Software

Appen

Clickworker

Scale AI

Labelbox

Top Subject Matter

AI training datasets (text, images, and video)

Healthcare Data & Medical Documentation

Financial Compliance & Risk Analysis

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Prompt + Response Writing (SFT)

Text Generation

Text Summarization

Entity (NER) Classification

Freelancer Overview

Data Annotation Specialist at Scale AI (2020–2024). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Appen. Education includes Bachelor of Science, University of California (2018) and Data Labeling Professional Certificate, V7 Labs. AI-training focus includes data types such as Video and Text and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

AI Moderation & NLP Data Labeling for Machine Learning Models

LabelboxTextSegmentationText Summarization

Project Description: I worked on a large-scale AI moderation and NLP data labeling project focused on improving the accuracy and fairness of machine learning models. My responsibilities included: 1. Classifying text data to identify policy violations, sentiment, and intent (e.g., hate speech, misinformation, and spam). 2. Annotating named entities (NER) to train models for entity recognition and relationship extraction. 3. Evaluating AI-generated responses for bias, factual accuracy, and fluency in text-based AI systems. 4. Refining AI-generated text by providing high-quality prompt + response pairs for fine-tuning LLMs. 5. Ensuring consistency and accuracy by following strict quality control guidelines and cross-checking annotations with team members. This project involved handling high-volume datasets and adhering to strict annotation guidelines to enhance AI performance for content moderation, sentiment analysis, and conversational AI.

2024 - 2024

Audio Data Labeling Specialist

LabelboxAudioSegmentationClassification

Worked on an audio data labeling project for a conversational AI system, focusing on speech-to-text transcription, speaker identification, and emotion recognition. Tasks included segmenting audio clips, classifying speech patterns, and ensuring high-quality annotations for machine learning model training. The project required adherence to strict quality control measures, including inter-annotator agreement checks and regular audits.

2023 - 2024

Freelance Data Labeler at Appen (Remote) (2019–2023)

AppenTextEntity (NER) Classification

Performed freelance data labeling and annotation for AI training projects across healthcare, finance, and e-commerce domains. Applied sentiment analysis, classification, and tagging to text and image datasets while following evolving instructions and workflows. Ensured consistent labeling accuracy through review and validation before submission.• Completed text and image annotation for domain-specific projects• Applied sentiment analysis, classification, and tagging• Followed changing instructions and adapted to new tools/workflows• Performed review and validation to maintain label consistency

2019 - 2023

Education

Work History