NLP Data Curation Consultant

• AI Overviews leverages cutting-edge language models and integrates them with our core search ranking systems to deliver a new level of search experience.
• It goes beyond traditional search results by providing synthesized summaries, along with relevant links to high-quality webpages, helping users quickly grasp key information and dive deeper into areas of interest.
• Our team sits within the operational core of the AI Overviews program, partnering with supplier and full time teams to scale high quality data curation (writing and evaluations) for model training.

Responsibilities:

• You’ll play a key role in establishing scalable processes for creating and evaluating high-quality training data, directly impacting the quality of AI Overviews. This involves collaborating with engineers, UX designers, and technical writers to define best practices, ensure consistency, and ultimately scale our UX capabilities from a data quality standpoint.
• Create and curate “platinum sets” of high-quality training data to refine our language models, enhancing their ability to generate informative and engaging summaries.
• Work with Eng, UX and Tech Writers to understand how to scale the development of Platinum sets/quality assessments for data curation.
• Maintain consistency and quality across a large scale data curation program: Adhere to established style guidelines and ensure the overall quality and coherence of the generated datasets.
• Develop frameworks: for creating platinum/calibration and Golden sets., Job Description In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Contribute to the requirements elicitation process by docum…
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• 3-5 years of experience with Data Science in Tech or related fields.
• Strong communication and interpersonal skills: Ability to effectively collaborate with engineers, UX designers, and technical writers to understand their needs and translate them into data requirements.
• Ability to clearly document processes and guidelines: This ensures that data curation practices are well-defined, consistent, and easily understood by others.

Desired Skills:

• Understanding of natural language processing (NLP): Familiarity with basic NLP concepts and techniques can be helpful for understanding how language models work and how data quality impacts their performance.

Education:

• Bachelor’s degree in Communications, Journalism, English or related field of study.