Data & AI Specialist (m/f/d) – Human-AI Loop & Hotel Construction Data

Your Role:

Human-AI loop for data research (focus)

• Development and establishment of human-AI loops in our research processes: AI supports the research, classification and enrichment of project data, while humans validate, correct and provide feedback.
• Defining quality criteria, review steps and feedback processes to ensure that AI outputs become reliably, comprehensibly and measurably better.
• Designing clear guidelines: When can AI act automatically, and when is human review mandatory (data quality, relevance, risks, edge cases)?
• Structuring roles in the human-AI loop (e.g. operator, reviewer, decision-maker) together with IT and specialist departments.

AI chatbot based on our hotel construction database

• Design and implementation of an internal AI chatbot that accesses our hotel construction database and other internal knowledge sources to answer questions from research, sales and management.
• Setting up the technical basis (e.g. LLM + retrieval/RAG + vector database) in collaboration with IT & Data Management.
• Development and testing of prompts, guardrails and evaluation metrics (e.g. relevance, accuracy, hallucination rate), including integration into the human-AI loop (feedback from use flows back)

Data & Systems

• Analysing and structuring our existing data sets (hotel construction projects, chains, operators, sources) with a view to AI suitability (data quality, schema, access).
• Support with data modelling, data quality and system integration (e.g. SQL, APIs) so that data can be used for AI use cases such as semantic search, text-to-SQL or automated reports.
• Close cooperation with IT & Data Management in setting up data interfaces and reporting basics.

AI enablement for specialist departments

• Advising specialist departments on which AI tools are suitable for which tasks (research, editing, sales, management), including limitations and risks.
• Creation of pragmatic guidelines and short training courses for the productive, safe use of AI in everyday work.
• Monitoring relevant developments in the field of AI and evaluating which solutions are suitable for our use cases – without hype.