Linguist III- #26-22505

US Tech Solutions; Redmond (WA); On-site; USD 69,000 - 96,000; Full time

Job summary

US Tech Solutions in Redmond, WA seeks a Linguistic Engineer on a 12-month contract to build, maintain, and analyze datasets powering LLM features for smart glasses. You will collaborate with engineers, researchers, and data scientists to ensure data quality and reliability across pipelines.

The role emphasizes data labeling, experiments for rater quality, and developing automated QA processes using Python and SQL, with opportunities to impact model performance and product outcomes.

Qualifications

• Bachelor’s degree in linguistics or related field, or equivalent industry experience.
• Master’s degree preferred or equivalent experience.
• Experience with Coursera/Udemy courses is a plus.

Responsibilities

• Aggregate cross-functional requests and translate requests into actionable datasets via synthetic data collections and on live user traffic.
• Design and conduct experiments for evaluating rater quality and inter-rater reliability; write summary reports and present findings.
• Develop manual and automated processes for multiple concurrent projects ensuring high-quality labeled data.
• Create and perfect LLM Quality grading queues and LLM-related component quality error attribution grading queues.
• Build datasets and write guidelines in rapid fashion for new and emergent LLM data rating, creation, and annotation needs.
• Analyze system metrics such as factuality, brevity, coherence, and subcomponent performance; summarize findings and communicate results.

Skills

Python basics

SQL basics

Linguistics know-how

Data analysis

Communication skills

Education

Linguistics degree

Masters preferred

Online courses experience

Job description

$50-$70 per hour

Redmond, WA

Contract

Duration: 12 months

Summary:

We are looking for a skilled Linguistic Engineer to join our team to build, maintain, and analyze datasets powering LLM powered features. In this role, you will be instrumental in building and assessing the quality of data processed by our LLM production 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 build datasets for, report on, and generally guide improvements on our LLM powered features, ensuring their accuracy and reliability in smart glasses applications.

Job Responsibilities:

• Aggregate cross-functional requests and translate requests into actionable, high quality, datasets via synthetic data collections and on live user traffic. Deliver analytics, statistics, and model performance results on datasets.

• Design and conduct experiments for evaluating rater quality, inter-rater reliability; write summary reports based on findings and speak on those findings in meetings.

• Develop manual and automated processes for multiple concurrent projects ensuring high-quality labeled data.

• Create and perfect LLM Quality grading queues and LLM related component quality error attribution grading queues.

• Build datasets and write guidelines in rapid fashion for new and emergent LLM data rating, creation, and annotation needs.

• Analyze system metrics such as factuality, brevity, coherence, as well as subcomponent performance, summarize findings, and communicate results.

Skills:

• Basic Python, basic SQL with strong desire to grow required for this position. Intermediate level preferred.

• Basic knowledge of linguistics (some of Phonetics, Syntax, Semantics, Dialectology) required.

• Ability to analyze numerical rating results and draw conclusions based on data.

• Basic stats / math for data analysis.

• Written and oral communication skills necessary for communicating on project milestones and for reporting findings.

Education/Experience:

• Bachelor’s degree in Linguistics, 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 is great too.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com .

US Tech Solutions is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement:

By applying, you acknowledge that AI-assisted tools may be used during hiring.