Cypress HCM
AI Linguist
Overview We are the worlds 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 whats 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 worlds workforce in ways no other company can. Were much more than a digital rsum
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 Mt. View, CA (Hybrid
Tuesday through Thursday Onsite)
Responsibilities Design and execute on 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 Degree 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 to breakdown linguistic data requirements into concise, clear instructions and designs 1+ years 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 - 17:30pm PST
Suggested Skills: Strong problem solving Conceptual thinking Communication skills
Compensation $58.70 - $62.84 Hourly (W2/Non-Exempt)
Req# 16366
Overview We are the worlds 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 whats 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 worlds workforce in ways no other company can. Were much more than a digital rsum
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 Mt. View, CA (Hybrid
Tuesday through Thursday Onsite)
Responsibilities Design and execute on 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 Degree 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 to breakdown linguistic data requirements into concise, clear instructions and designs 1+ years 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 - 17:30pm PST
Suggested Skills: Strong problem solving Conceptual thinking Communication skills
Compensation $58.70 - $62.84 Hourly (W2/Non-Exempt)
Req# 16366