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This position requires a blend of those who enjoy writing code while also wanting to grow in being a client-facing technical consultant to our life science customers. The Technical Consultant will have the opportunity to collaborate with some of the best Senior Consultants and Solution Architects in the industry and learn best practices for software development and consulting, business analysis, solution design, enterprise software integration, and project management. 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Large-scale language models are evolving from simple conversational tools into systems capable of analyzing financial frameworks, interpreting regulatory structures, and supporting complex institutional decision-making. With high-quality training data, tomorrow's AI can help strengthen financial literacy, improve risk analysis, and support professionals across banking and financial services. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for individuals with knowledge of banking systems, financial regulation, capital markets, retail and commercial banking, central banking, compliance, risk management, lending practices, financial products, and institutional governance. You'll challenge advanced language models on topics such as balance sheet analysis, regulatory compliance frameworks, credit risk assessment, liquidity management, capital adequacy, anti-money laundering controls, financial reporting standards, and macroeconomic policy impacts-documenting failure modes so we can strengthen model reasoning and accuracy. On a typical day, you will engage the model with financial institution scenarios, regulatory and compliance questions, and analytical exercises; verify factual correctness and institutional logic; assess risk-related reasoning; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation frameworks, and analytical depth. You may also help identify where models oversimplify financial regulations or misinterpret institutional processes. A background in finance, economics, accounting, business administration, or a related field is preferred but not required. 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We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro's Rack Scale Solutions team is at the forefront of innovation, driving the development of cutting-edge AI and HPC solutions that power the next generation of data centers. As the voice, business direction, and technical resource behind Supermicro 3.0, this team plays a critical role in shaping the future of the data center. We are seeking a highly motivated Sr. Technical Trainer to support corporate training, leading the strategic direction and execution of training initiatives within the Rack Scale Solutions team. 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As AI models increasingly generate professional-grade scientific analyses, technical reports, and STEM-focused deliverables, their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks, strong prompts, and clear, well-structured rubrics that generate clean, reliable data for model training. Project Deliverables & Scope Operate autonomously to design complex evaluation frameworks and provide structured training data. Expected deliverables include: Task & Prompt Creation: Generating realistic, high-quality prompts that compel the AI model to produce complex, professional-grade deliverables specific to scientific research, engineering, and technical services. Rubric Development: Writing clear, well-structured evaluation rubrics with criteria that are highly specific, non-ambiguous, and easy to score. 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With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients' own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. 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