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AI Linguist - Engineer
- Avispa Technology (Mountain View, CA)
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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. #PP
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