AI Linguist - Engineer

AI Linguist - Engineer 16366

• Hourly pay: $55-$60/hr
• Worksite: Leading professional development and networking company (Mountain View, CA 94043 - Hybrid, Must be onsite on Tuesdays, Wednesdays, and Thursdays)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 12 Month Assignment

A leading professional networking company seeks an AI Linguist - Engineer. The successful candidate will design and execute solutions for AI quality, evaluation, and annotation. The company offers a great work environment!

AI Linguist - Engineer Responsibilities:

• Leverage Generative AI prompting, human input, and 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, and documentation.

AI Linguist - Engineer Qualifications:

• 2+ years relevant industry experience
• 2+ years of experience with large-scale, end-to-end human judgment flows and tools for the training/evaluation of AI models
• 2+ years of experience to break down linguistic data requirements into concise, clear instructions and designs
• 1+ years of experience programming in Python or any other scripting language
• B.S./B.A Degree in Computational Linguistics, Language Technologies, Linguistics, or a related field.
• MS or Ph.D. in Computational Linguistics, Language Technologies, Linguistics, or a related field is preferred.
• Willingness to learn technical concepts and new tools, and a keen interest in technology are preferred.
• Experience with human judgment projects and flows is preferred.
• Experience with complex and scalable data annotations and evaluations is preferred.
• Experience with programming languages in the data annotation space is preferred.

Shift:

• Preferred working hours: 8:30 am - 05:30 pm Pacific Time office hours.

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