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Evaluates and refines AI-generated educational content by analyzing datasets, verifying claims, and creating training scenarios to improve large language model accuracy.
About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs…
Build, evaluate, and fine-tune AI models using Python and public datasets; collaborate with researchers to improve model performance and alignment.
Build and maintain Python tooling to generate, evaluate, and rank data for training and benchmarking large language models, working with leading AI labs.
Build and evaluate AI models using Python and JavaScript/TypeScript, fine-tuning LLMs and designing evaluation frameworks for cutting-edge AI systems.
Build and evaluate AI models using JavaScript/TypeScript with Nest.js, Node.js, React, Vue, or Angular to train, fine-tune, and benchmark cutting-edge AI systems for commercial and research use.
Build and optimize Java-based back-end components for training and evaluating large language models, collaborating with cross-functional teams to improve AI performance and alignment.
Build and deploy LLM-based GenAI systems using Python, Langchain, and RAG pipelines, collaborating with teams to shape AI roadmaps and productionize models.
Leads end-to-end GenAI implementation for a Fortune 500 financial-services client, designing architecture, setting security guardrails, and managing delivery from POC to production. Works with AI/ML engineers and client stakeholders to ensure compliant, scalable AI solutions for valuation workflows.
Develop and validate C/C++ code for next-gen dialog agents, ensuring quality and scalability while collaborating with cross-functional teams in a fast-paced AI environment.
Design and refine AI training tasks by writing technical documentation, editing complex content, and creating evaluation rubrics for frontier AI agents in corporate settings.
Senior technical editor creates and refines complex AI evaluation tasks, style guides, and documentation to test and improve frontier AI agents' reliability in corporate settings.
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports…
Build and deploy end-to-end ML systems—from data pipelines to production models—using Python and libraries like Pandas, Scikit-learn, and PyTorch.
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