• Acquire and record correct information regarding programs and TV listings from a variety of Dutch channels and top content providers. • Investigate, confirm and document questionable program content by consulting program information providers and others. • Consolidate data content and new program information in databases. • Edit and maintain TV listings information, create and curate information on movies and shows. • Maintain accurate database information and provide timely updating of listings information. • Ensure the accuracy of editorial content, authenticity of program information and timely delivery to in-house personnel. • Analyze, develop and recommend solutions to editorial, communication and technical procedural and operational needs. • Act as a customer service representative concerning product content and editorial policies. • Other duties as assigned.

• Design and run short multi-turn conversations (typically 1–5 turns) intended to test AI personalization behavior • Create prompts grounded in realistic personal scenarios to evaluate contextual understanding • Review AI responses to determine whether personalization is correctly applied • Check grounding quality to ensure the model does not invent unsupported claims about the user • Evaluate integration quality — confirming personal signals are used naturally (not forced or robotic) • Compare two responses side-by-side and determine which is more helpful, natural, and relevant • Write clear, structured rationales explaining rankings and referencing specific conversation turns • Verify debug information showing whether correct data sources were used • Maintain strict workflow hygiene (including deleting evaluation conversations when required)

• Design and run short multi-turn conversations (typically 1–5 turns) intended to test AI personalization behavior • Create prompts grounded in realistic personal scenarios to evaluate contextual understanding • Review AI responses to determine whether personalization is correctly applied • Check grounding quality to ensure the model does not invent unsupported claims about the user • Evaluate integration quality — confirming personal signals are used naturally (not forced or robotic) • Compare two responses side-by-side and determine which is more helpful, natural, and relevant • Write clear, structured rationales explaining rankings and referencing specific conversation turns • Verify debug information showing whether correct data sources were used • Maintain strict workflow hygiene (including deleting evaluation conversations when required)

• Design and run short multi-turn conversations (typically 1–5 turns) intended to test AI personalization behavior • Create prompts grounded in realistic personal scenarios to evaluate contextual understanding • Review AI responses to determine whether personalization is correctly applied • Check grounding quality to ensure the model does not invent unsupported claims about the user • Evaluate integration quality — confirming personal signals are used naturally (not forced or robotic) • Compare two responses side-by-side and determine which is more helpful, natural, and relevant • Write clear, structured rationales explaining rankings and referencing specific conversation turns • Verify debug information showing whether correct data sources were used • Maintain strict workflow hygiene (including deleting evaluation conversations when required)