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 L inguist - 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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