Enter and collect scatterplot datasets in local data storage for model training and visualization testing.
Input review and consolidate a variety of performance evaluation data collected for benchmarking interaction mechanisms performance.
Assist in preparing analysis reports of the collected datasets and performance evaluation results, including simple chart generation and documentation of the datasets and evaluation procedures.
Maintain source code for natural language interaction pipelines, such as:
• Documentation of the source code • Preparing usage manuals • Identification of library dependencies
Collaborate with internal departments to share information and improve data-handling processes.
Knowledge, Skills, and Abilities:
Software Engineering: • Skilled in maintaining code for libraries, APIs, and deep learning pipelines.
Data Visualization: • Ability to design charts using libraries or platforms such as D3.js and Tableau.
Effective Communication: • Ability to translate technical concepts into clear documentation and collaborate across multidisciplinary teams.