Sharon Taylor

Key Skills

Software

Scale AI

Remotasks

Top Subject Matter

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Top Data Types

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Freelancer Overview

I am an experienced AI specialist and software engineer with over 7 years in AI research, data training, and backend development. My expertise includes leading prompt engineering and data annotation initiatives for large language models, where I have developed comprehensive guidelines and Python scripts to support RAG indexing and high-quality knowledge retrieval. I have conducted in-depth error analysis to improve model robustness and reduce bias, collaborating closely with research teams to ensure data integrity and ethical AI outcomes. My technical skills span Python, FastAPI, LangChain, and vector databases such as Pinecone and Weaviate, as well as hands-on experience with LLMs, NLP, and machine learning frameworks. I am passionate about building reliable data pipelines and annotation processes that drive the next generation of AI applications.

Labeling Experience

AI Training Specialist (Tier 3 Coder)

Scale AITextEvaluation Rating

Served as an AI Training Specialist evaluating and ranking LLM outputs for accuracy, helpfulness, and safety on Outlier (Scale AI). Audited machine-generated code using complex multi-dimensional rubrics and contributed to quality assurance for model improvements. Performed prompt engineering and supervised fine-tuning (SFT) tasks to enhance model reasoning. • Consistently maintained a Quality Score of 4.5/5.0 or higher. • Led technical projects due to high performance. • Utilized Python and C++ for code evaluation and debugging. • Specialized in RLHF, prompt generation, and data annotation on technical and conversational tasks.

Served as an AI Training Specialist evaluating and ranking LLM outputs for accuracy, helpfulness, and safety on Outlier (Scale AI). Audited machine-generated code using complex multi-dimensional rubrics and contributed to quality assurance for model improvements. Performed prompt engineering and supervised fine-tuning (SFT) tasks to enhance model reasoning. • Consistently maintained a Quality Score of 4.5/5.0 or higher. • Led technical projects due to high performance. • Utilized Python and C++ for code evaluation and debugging. • Specialized in RLHF, prompt generation, and data annotation on technical and conversational tasks.

2023

AI Training & Data Specialist

Remotasks3D SensorCuboid

Worked as an AI Training & Data Specialist on Remotasks, executing high-volume LiDAR annotation and 2D/3D cuboid placement for autonomous vehicle datasets. Provided feedback on model reasoning to improve generative AI accuracy and documented ambiguous instructions for project guidelines. Achieved consistently high throughput within strict accuracy requirements. • Performed annotation for 3D sensor (LiDAR) and image data. • Helped reduce hallucination rates in model agents. • Increased team-wide consensus and reliability for labeled data by 15%. • Maintained 98% accuracy requirements for all assigned tasks.

Worked as an AI Training & Data Specialist on Remotasks, executing high-volume LiDAR annotation and 2D/3D cuboid placement for autonomous vehicle datasets. Provided feedback on model reasoning to improve generative AI accuracy and documented ambiguous instructions for project guidelines. Achieved consistently high throughput within strict accuracy requirements. • Performed annotation for 3D sensor (LiDAR) and image data. • Helped reduce hallucination rates in model agents. • Increased team-wide consensus and reliability for labeled data by 15%. • Maintained 98% accuracy requirements for all assigned tasks.

2021 - 2024

Education

Work History