AI Linguist Job at eTeam, Sunnyvale, CA

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  • eTeam
  • Sunnyvale, CA

Job Description

Job Title: AI Linguist
Location: Sunnyvale, CA (Hybrid - Tuesday to Thursday)
Duration: 12 Months (Potential conversion)

Preferred working hours: 8:30 am PST - 5:30 pm PST

The HALO team at the client leverages large volumes of data and state-of-the-art machine learning techniques to understand what our 1B members read and write about on client.com. AI Engineers and Linguists work together to positively impact the client's feed experience, personalized content recommendations, ad 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 their expertise to the annotation/human judgment pipeline development that lies at the foundation of the client's AI model development and improvement.

Responsibilities:
Design and execute solutions for AI quality, evaluation, and annotation
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

Basic Qualifications:
B.S./B.A Degree in Computational Linguistics, Language Technologies, Linguistics or a related field
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

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 the data annotation space
Excellent comprehension and written communication skills in English

Suggested Skills:
Strong problem-solving
Conceptual thinking
Communication skills

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