Eric StonerES
Open to opportunities

Eric Stoner

@ericstoner

Detail-oriented Data Annotation Professional with 6+ years of experience.

United States
Message

What I'm looking for

I am looking for opportunities that allow me to enhance my skills in data annotation and contribute to innovative AI projects in a collaborative environment.

Hello, I'm Eric Stoner, a highly detail-oriented Data Annotation Professional with over six years of experience in accurately labeling and categorizing diverse datasets for machine learning and AI model training. My expertise lies in maintaining high levels of quality and consistency while working with various data types, including images, text, audio, and video. I am eager to leverage my strong analytical skills and commitment to data integrity to contribute to the development of robust AI systems.

In my current role at Alignerr, I annotate and validate large volumes of data with high accuracy and efficiency, ensuring that the data used to train machine learning models is of the highest quality. I apply complex annotation guidelines consistently across various projects and actively participate in quality assurance processes, reviewing annotated data for errors and providing constructive feedback to my peers. My experience at Telus AI further solidified my skills in data annotation and general LLM training, where I identified and reported inconsistencies in annotation guidelines, contributing to their refinement and clarity.

Experience

Work history, roles, and key accomplishments

AL
Current

Data Annotation

Alignerr

Dec 2024 - Present (7 months)

Annotated and validated large volumes of data (e.g., images, text, audio, video) with high accuracy and efficiency to train and improve machine learning models. Applied complex annotation guidelines and ontologies consistently across various projects, ensuring data quality and model performance.

TA
Current

Data Annotation and General LLM Training

Telus AI

Jan 2018 - Present (7 years 6 months)

Annotated and validated large volumes of data (e.g., images, text, audio, video) with high accuracy and efficiency to train and improve machine learning models. Identified and reported inconsistencies or ambiguities in annotation guidelines, contributing to their refinement and clarity.

Education

Degrees, certifications, and relevant coursework

Xavier University of Louisiana logoXL

Xavier University of Louisiana

Bachelor of Science, Computer Science

Studied the fundamentals of computer science including programming languages, data structures, and algorithms. Gained a strong foundation in theoretical and practical aspects of computing.

Tech stack

Software and tools used professionally

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