• Entwicklung und Optimierung von Prompts für generative KI-Modelle, insbesondere im Bereich Voice-AI • Durchführung von Tests, um Modellleistung, Genauigkeit und Relevanz der Ergebnisse zu verbessern • Feinanpassung und Automatisierung von Eingabebefehlen (Prompts) zur Steigerung der Effizienz und Konsistenz • Analyse von Nutzungsdaten und Modellausgaben, um kontinuierliche Verbesserungen und datengetriebene Entscheidungen zu ermöglichen • Integration und Abstimmung von Voice-AI-Systemen auf Basis von Plattformen wie fonio, vapi ai, retell ai, ElevenLabs oder Deepgram • Entwicklung, Training und Pflege eigener Voice-AI-Prototypen und -Workflows • Beobachtung aktueller Trends und technischer Entwicklungen im Bereich generative KI, Prompt Engineering und Sprachmodelle zur Weiterentwicklung interner Strategien

• Depending on the task, you may be asked to generate original content or assess AI-generated outputs. • Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. • Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. • Provide concise, structured annotations that can be used directly for model improvement. • Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards

• Depending on the task, you may be asked to generate original content or assess AI-generated outputs. • Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. • Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. • Provide concise, structured annotations that can be used directly for model improvement. • Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards

• Depending on the task, you may be asked to generate original content or assess AI-generated outputs. • Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. • Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. • Provide concise, structured annotations that can be used directly for model improvement. • Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards