Felicia Wang

Key Skills

Software

Remotasks

Top Subject Matter

Natural Language Processing

Multilingual AI

Knowledge-based Systems

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Classification

Freelancer Overview

AI Data Specialist / Machine Learning Annotator. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include RWS and Remotasks. Education includes Master of Science, Massachusetts Institute of Technology (2021) and Bachelor of Science, University of California, Berkeley (2019). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF and Classification.

Labeling Experience

AI Data Specialist / Machine Learning Annotator

TextRLHF

Responsible for annotating and validating large-scale datasets for AI and machine learning systems. Performed prompt evaluation, ranking, and RLHF feedback to enhance language model accuracy. Contributed to multilingual, NLP, and knowledge-based AI projects with high attention to quality. • Maintained 98%+ accuracy across production-level datasets • Identified errors and refined output predictions • Improved overall model performance through feedback loops • Utilized internal and external annotation tools

Responsible for annotating and validating large-scale datasets for AI and machine learning systems. Performed prompt evaluation, ranking, and RLHF feedback to enhance language model accuracy. Contributed to multilingual, NLP, and knowledge-based AI projects with high attention to quality. • Maintained 98%+ accuracy across production-level datasets • Identified errors and refined output predictions • Improved overall model performance through feedback loops • Utilized internal and external annotation tools

2023 - Present

AI Trainer & Data Annotation Specialist

RemotasksImageClassification

Labeled and annotated image, video, and text datasets to train AI models across multiple projects. Participated in image and video annotation for computer vision and text projects for LLM and production models. Ensured high data quality and accuracy through validation and quality assurance steps. • Collaborated on team-based AI annotation initiatives • Performed data quality control and peer validation • Handled prompt evaluation and training datasets for LLM systems • Used Remotasks and internal tooling for efficient labeling

Labeled and annotated image, video, and text datasets to train AI models across multiple projects. Participated in image and video annotation for computer vision and text projects for LLM and production models. Ensured high data quality and accuracy through validation and quality assurance steps. • Collaborated on team-based AI annotation initiatives • Performed data quality control and peer validation • Handled prompt evaluation and training datasets for LLM systems • Used Remotasks and internal tooling for efficient labeling

2021 - 2023

Education

Work History