Linguist III - Tailored Management
Redmond, WA 98052
About the Job
Linguistic Engineer
Location: Onsite role; at Redmond or Bay Area locations
Duration: 6+ months contract with possibility of extension.
Pay rate: $60/hr on W2 Max
Job Description:
We are looking for 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, 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, 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, intermediate SQL with strong desire to grow required for this position.
Basic knowledge of linguistics (some of Phonetics, Syntax, Semantics, Dialectology) required.
Ability to analyse numerical rating results and draw conclusions based on data.
Intermediate stats / math for data analysis.
Experience with computer vision/input modalities outside of voice is a bonus but not required.
Written and oral communication skills necessary for communicating on project milestones and for reporting findings.
Education/Experience
Bachelor's degree in computational linguistics, speech science, or related field OR graduate degree in linguistics OR industry similar experience required.
Master's degree or beyond preferred OR equivalent industry experience.
Additional learning via Coursera, Udemy, or other online resources great too.
Location: Onsite role; at Redmond or Bay Area locations
Duration: 6+ months contract with possibility of extension.
Pay rate: $60/hr on W2 Max
Job Description:
We are looking for 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, 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, 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, intermediate SQL with strong desire to grow required for this position.
Basic knowledge of linguistics (some of Phonetics, Syntax, Semantics, Dialectology) required.
Ability to analyse numerical rating results and draw conclusions based on data.
Intermediate stats / math for data analysis.
Experience with computer vision/input modalities outside of voice is a bonus but not required.
Written and oral communication skills necessary for communicating on project milestones and for reporting findings.
Education/Experience
Bachelor's degree in computational linguistics, speech science, or related field OR graduate degree in linguistics OR industry similar experience required.
Master's degree or beyond preferred OR equivalent industry experience.
Additional learning via Coursera, Udemy, or other online resources great too.
Source : Tailored Management
