Key Skills

Software

Data Annotation Tech

iMerit

Labelbox

Lionbridge

Mercor

Mindrift

Remotasks

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Document

Geospatial Tiled Imagery

Image

Medical Dicom

Text

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Data Collection

Emotion Recognition

Entity Ner Classification

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Freelancer Overview

I am an experienced AI data annotator and STEM subject matter expert with a strong background in mathematics and biology. My expertise spans structured data labeling, taxonomy development, rubric-driven quality control, and multimodal annotation across text, image, and visual question-answering (VQA) datasets. I have contributed to large-scale AI training projects by designing annotation protocols, performing multi-stage quality reviews, and collaborating with cross-functional teams to ensure data consistency and accuracy. My skills include synthesizing complex information, standardizing presentation materials, troubleshooting formatting issues, and refining taxonomies for both text and visual data. I am adept at documenting edge cases, aligning annotation standards, and delivering high-quality, audit-ready datasets under tight deadlines, with a proven ability to improve model performance through detailed feedback and guideline enhancements.

Labeling Experience

Education

Work History