AI Trainer - Kazakh - Germany
Evaluate AI-generated text for naturalness, authenticity, and cultural nuance in the Kazakh language. Perform side-by-side comparisons and provide feedback on tone, phrasing, and word choice.
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Evaluate AI-generated text for naturalness, authenticity, and cultural nuance in the Kazakh language. Perform side-by-side comparisons and provide feedback on tone, phrasing, and word choice.
You will perform side-by-side evaluations of AI-generated text to assess its naturalness, authenticity, and cultural accuracy in the Kazakh language. Additionally, you will provide data tagging and feedback to help improve the quality and nuance of AI models.
You will evaluate AI-generated text for naturalness, authenticity, and cultural nuance in Icelandic. This involves performing side-by-side comparisons and providing feedback to improve AI language models.
Evaluate AI-generated Icelandic text for naturalness, authenticity, and cultural nuance. Perform side-by-side comparisons and provide feedback on tone, phrasing, and word choice.
Evaluate AI-generated text for naturalness, authenticity, and cultural accuracy in Icelandic. Provide feedback and data tagging to improve the quality and nuance of AI language models.
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Evaluators will perform side-by-side assessments of AI-generated text to ensure naturalness, authenticity, and cultural accuracy in Icelandic. Responsibilities include identifying tone mismatches, verifying word choice, and providing feedback on linguistic quality.
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Act as a technical lead for high-value AI services, providing strategic guidance and architecture implementation for clients. Support business development through solution design, client presentations, and the delivery of Generative AI training.
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The AI Vendor Governance Manager will design and operate a third-party intake process to evaluate AI solutions against responsible-AI and risk standards. They will also build and mature the AI governance program, including policies, risk-tiering criteria, and continuous monitoring of third-party AI vendors.
You will build and own JLL's internal AI platform, designing the model gateway and agent surface to support production-grade AI applications. You will also be responsible for establishing evaluation, benchmarking, and guardrail standards to ensure reliable and scalable AI deployment across the firm.
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The role involves personally prospecting, negotiating, and closing B2B sales opportunities while simultaneously building and leading a high-performing sales team. You will be responsible for developing sales systems, recruiting talent, and driving revenue growth across water technology, fintech, and AI sectors.
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Design, build, and iterate on various AI systems ranging from computer vision to automated video generation. Manage the full development pipeline from R&D of AI models to deploying scalable web applications.
You will work on diverse client projects ranging from software development and modernization to data engineering and machine learning. The role involves contributing to AI, generative AI, and automation initiatives as a specialist, architect, or technical consultant.
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You will set the technical direction for AI at HotDocs, designing and delivering new AI-powered enterprise features from prototype to production. Additionally, you will lead AI adoption across the software development lifecycle and mentor the engineering team to improve technical excellence.
You will design, build, and maintain production software that leverages modern AI capabilities to improve enterprise workflows. This involves collaborating with global teams to translate business needs into scalable technical solutions while ensuring high code quality and system reliability.
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The Account Executive will manage the full sales cycle, from initial discovery and technical demonstrations to negotiation and closing enterprise deals. They will also focus on building executive-level relationships and collaborating with internal teams to refine the go-to-market strategy.
You will own the end-to-end vision, strategy, and roadmap for the API and AI orchestration platform while building and leading a high-performing product team. You will also define the commercial model and governance standards to ensure secure, scalable access to the company's data and services.
The AI Architect will lead the design, development, and governance of enterprise-grade AI and Agentic AI solutions across the organization. This role involves defining reference architectures, managing AWS AI/ML services, and ensuring secure, scalable, and responsible AI practices.
Lead the design, development, and maintenance of large-scale AI data platforms and frameworks to support business needs. Collaborate with cross-functional teams to implement secure, scalable AI solutions while providing technical guidance to less experienced engineers.
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