Cypress HCM
3 days ago Be among the first 25 applicants
We are the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. Join us to challenge yourself with work that matters.
We trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to an onsite office, depending on what’s best for you and when it is important for your team to be together.
We were built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital résumé – we transform lives through innovative products and technology.
The HALO team leverages large volumes of data and state‑of‑the‑art machine learning techniques to understand what our 1B members read and write about on linkedin.com. AI Engineers and Linguists work together to impact positively on the LinkedIn feed experience, personalized content recommendation, ads relevance and more.
We are seeking AI Linguists to join our diverse and interdisciplinary team to focus on AI quality, evaluation, and annotation and to contribute with their expertise to the annotation/human judgment pipeline development that lay at the foundation of the AI model development and improvement.
Location: Sunnyvale, CA or Mountain View, CA (Hybrid – Tuesday through Thursday Onsite)
Responsibilities
Design and execute solutions for AI quality, evaluation, and annotation
Leverage Generative AI prompting, human input, hybrid approaches in the development of scalable and high‑quality human judgment workflows
Conduct data‑driven analysis and provide linguistic insights for project development
Be part of working groups that develop high‑quality human judgment/annotation/evaluation pipelines
Create documentation and guidelines for standard procedures of internal processes
Research new methodologies for process and product improvement
Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation
Basic Qualifications
B.S./B.A. in Computational Linguistics, Language Technologies, Linguistics or a related field
2+ years relevant industry experience
2+ years experience with large‑scale, end‑to‑end human judgment flows and tools for the training/evaluation of AI models
2+ years experience breaking down linguistic data requirements into concise, clear instructions and designs
1+ year experience programming in Python or any other scripting language
Preferred Qualifications
MS or Ph.D. in Computational Linguistics, Language Technologies, Linguistics or a related field.
Willingness to learn technical concepts and new tools and a keen interest in technology
Experience with human judgment projects and flows
Experience with complex and scalable data annotations and evaluations
Experience with programming languages in data annotation space
Excellent comprehension and written communication skills in English
Preferred working hours: 8:30 am PST – 5:30 pm PST
Suggested Skills
Strong problem solving
Conceptual thinking
Compensation
$58.70 – $62.84 hourly (W2/Non‑Exempt)
Req# 16366
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We are the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. Join us to challenge yourself with work that matters.
We trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to an onsite office, depending on what’s best for you and when it is important for your team to be together.
We were built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital résumé – we transform lives through innovative products and technology.
The HALO team leverages large volumes of data and state‑of‑the‑art machine learning techniques to understand what our 1B members read and write about on linkedin.com. AI Engineers and Linguists work together to impact positively on the LinkedIn feed experience, personalized content recommendation, ads relevance and more.
We are seeking AI Linguists to join our diverse and interdisciplinary team to focus on AI quality, evaluation, and annotation and to contribute with their expertise to the annotation/human judgment pipeline development that lay at the foundation of the AI model development and improvement.
Location: Sunnyvale, CA or Mountain View, CA (Hybrid – Tuesday through Thursday Onsite)
Responsibilities
Design and execute solutions for AI quality, evaluation, and annotation
Leverage Generative AI prompting, human input, hybrid approaches in the development of scalable and high‑quality human judgment workflows
Conduct data‑driven analysis and provide linguistic insights for project development
Be part of working groups that develop high‑quality human judgment/annotation/evaluation pipelines
Create documentation and guidelines for standard procedures of internal processes
Research new methodologies for process and product improvement
Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation
Basic Qualifications
B.S./B.A. in Computational Linguistics, Language Technologies, Linguistics or a related field
2+ years relevant industry experience
2+ years experience with large‑scale, end‑to‑end human judgment flows and tools for the training/evaluation of AI models
2+ years experience breaking down linguistic data requirements into concise, clear instructions and designs
1+ year experience programming in Python or any other scripting language
Preferred Qualifications
MS or Ph.D. in Computational Linguistics, Language Technologies, Linguistics or a related field.
Willingness to learn technical concepts and new tools and a keen interest in technology
Experience with human judgment projects and flows
Experience with complex and scalable data annotations and evaluations
Experience with programming languages in data annotation space
Excellent comprehension and written communication skills in English
Preferred working hours: 8:30 am PST – 5:30 pm PST
Suggested Skills
Strong problem solving
Conceptual thinking
Compensation
$58.70 – $62.84 hourly (W2/Non‑Exempt)
Req# 16366
#J-18808-Ljbffr