Linguist III

Iron Systems is an innovative, customer-focused provider of custom-built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances, & embedded systems. For more than 15 years, customers have trusted us for our innovative problem-solving combined with holistic design, engineering, manufacturing, logistics, and global support services.

Job Title: Linguist III

Location: US, WA, Redmond

Job Description: Summary

• We seek a skilled linguistic engineer to maintain the data in our topline quality evaluation pipelines.
• In this role, you will be instrumental in assessing the quality of data processed by our voice assistant systems.
• Using new and existing data quality workflows and pipelines, you will collaborate closely with a cross-functional team of engineers, research scientists, project managers, and data scientists to report on and guide improvements on our voice assistant features, ensuring their accuracy and reliability.

Responsibilities

• Maintain production data grading queues, report on product and annotation quality, and perform data analysis using SQL, Python, and spreadsheets.
• Guide your analyses using linguistic expertise in the areas of phonetics, phonology, dialectology, and NLP.
• Analyze system metrics such as factuality, brevity, and coherence, as well as subcomponent performance, summarize findings, and communicate results.
• This is not an annotator position, though annotation will occasionally be required to accommodate urgent requests.

Skills

• Basic Python and intermediate SQL with a strong desire to grow are required for this position.
• Basic knowledge of linguistics (some phonetics, syntax, semantics, and dialectology) is required.
• Ability to analyze numerical rating results and draw conclusions based on data.
• Intermediate statistics and math for data analysis.
• Experience with computer vision and input modalities outside of voice is a bonus but not required.
• Written and oral communication skills are necessary for communicating project milestones and reporting findings.

Education/Experience

• A bachelor's degree in computational linguistics, speech science, or a related field; a graduate degree in linguistics; or industry experience is required.
• Master's degree or beyond preferred OR equivalent industry experience.
• Additional learning via Coursera, Udemy, or other online resources is great too.