As an Expert Rater, you will play a pivotal role in refining and enhancing AI-powered advertising systems. You will be at the pioneer of defining a solution in an uncharted domain, where existing benchmarks are absent. This calls for a team that excels in crafting exceptional data-driven products despite limited resources, embracing the challenge of creating excellence where no precedent exists. Your expertise will be instrumental in shaping the future of AI-driven advertising, contributing to the creation of a data-product that sets new standards in the industry.

Main Responsibilities:

• Pioneering Innovation: working in an evolving environment where established norms are yet to be defined.

• Resourceful Issue Resolution: Identify potential challenges and issues in ad templates, utilizing your resourcefulness and adaptability to craft effective solutions in the absence of established benchmarks.

• Self-Driven Research: Initiate and conduct independent research to gather insights, exploring uncharted territories to guide your decisions and innovations.

• Data Analysis: Analyze various datasets to identify meaningful patterns and trends

• LLM Improvement: Collaborate with our research and development teams in experiments aimed at enhancing our Language Model (LLM) 

Qualifications: 

• Strong analytical skills to assess templates and identify potential issues.

• Exceptional emotional intelligence, to navigate situations where disagreements arise and foster collaborative solutions.

• Exceptional communication skills, both written and verbal, to effectively explain your evaluations and proposed solutions 

• Detail-oriented mindset to catch nuances and ensure accurate template annotations.

• Familiarity with annotation guidelines and best practices

• Ability to adapt to evolving processes and provide valuable insights for process improvement.

Knowledge:

• English B1 - Required

• Oral and written comprehension

• Appropriate use of language

• Google Workspace- Intermediate

• Familiarity with ethical considerations and challenges in AI, particularly in the context of advertising.

• An academic background in any social science would be a plus

• Google AI learning path - Desirable 

Studies & Experience:

• 1 year of University studies - Desirable   

• 2–3 years of experience in either; marketing, research, linguistic, content creation or moderation, writing, reporting, QA related roles or similar positions - Desirable for external hires

• Understanding of data labeling, annotation, and evaluation methodologies.- Required

• Previous quality control experience is a plus

• Experience with SQL, HTML, would be desirable