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Perform role-play as a clinically informed persona to test AI responses to emotional distress and suicidal ideation. Evaluate AI outputs based on clinical rigor, safety awareness, and adherence to evidence-based crisis-response practices.
Perform as a role-play actor in multi-turn conversations with an AI to simulate emotional distress and high-risk scenarios. Maintain a predefined persona consistently to help evaluate the AI's empathy and safety responses.
Review real-world case scenarios to assess sales processes and diagnosing skills. Provide expert feedback as a Shopping Expert for specific projects.
Review and validate AI-generated code and associated test suites to ensure technical correctness and alignment with prompts. Identify gaps, ambiguities, and false positives in test suites to act as a technical quality gate.
Review and improve realistic travel scenarios to train AI travel assistants by identifying feasibility constraints. Rate the quality of tasks and rewrite scenarios to include decisive constraints that test the model's accuracy.
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Review and improve real-world wellness scenarios used to train AI wellness assistants. Identify risks, contraindications, and decision trade-offs to upgrade weak scenarios and test professional judgment.
The role involves rating, labeling, and ranking AI model outputs to improve the reasoning and language capabilities of LLMs. Responsibilities include creating prompts, generating training data, and rewriting text for clarity and adherence to guidelines.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for machine learning.
The role involves rating AI model performance, labeling data, and creating prompts to improve the reasoning and language capabilities of LLMs. Responsibilities also include generating training data through text transformation, summarization, and translation.
The specialist will rate AI model performance, label content, and create training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating prompts to train large language models. Responsibilities also include generating training data through text transformation, summarization, and translation.
The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio or language content to improve LLM reasoning.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language skills. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating prompts to improve LLM reasoning and language capabilities. Responsibilities also include generating training data through text transformation, summarization, and translation.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio or language to improve LLM reasoning and quality.
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Design and build scalable ML data pipelines and translate R&D outputs into reusable libraries and products. Collaborate with customers and simulation engineers to embed AI models into practical engineering tools.
Design and implement robotics data capture solutions and technical pilots to help customers build Physical AI systems. Act as a technical partner to bridge the gap between customer requirements and the delivery of high-quality robotics datasets.
Own the end-to-end development of internal tools, GTM data systems, and the web platform to automate manual business workflows. Partner with growth, sales, and RevOps teams to translate ambiguous business problems into scalable, reliable software primitives.
The role focuses on bridging the gap between deep product knowledge and market-facing communication to drive bottom-of-the-funnel conversion. Responsibilities include creating technical narratives, reusable content assets, and competitive battlecards for engineering buyers.
Design and implement collaboration solutions using Slack and its integration with the Salesforce ecosystem. Lead discovery sessions, configure workspaces, and execute user adoption and training strategies to optimize business productivity.
Lead the end-to-end drug product manufacturing strategy and oversee external CDMO operations from late-stage development through commercialization. Ensure reliable supply and scalability while managing critical manufacturing issues and cross-functional alignment on CMC strategy.
Design, develop, and maintain scalable backend services and microservice-based architectures using Java and GraphQL. Collaborate with cross-functional teams to implement AI-enabled features and provide technical leadership through mentoring junior engineers.
Design, develop, and maintain scalable backend services and microservice-based architectures using Java and GraphQL. Collaborate with cross-functional teams to implement AI-enabled features and provide technical leadership through mentoring junior engineers.
Act as the primary point of contact for hotels, agencies, and distribution partners to ensure smooth travel operations. Resolve complex booking issues and escalations while coordinating across internal teams to maintain partner trust.
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Own the design, development, and maintenance of the data warehouse, pipelines, and integration points. Collaborate with cross-functional teams to build scalable frameworks and enable data-informed decision-making in an AI-first environment.
Own the design, development, and maintenance of the data warehouse, pipelines, and integration points. Collaborate with cross-functional teams to build scalable frameworks and enable data-informed decision-making in an AI-first environment.
Serve as a senior technical resource managing Windows and macOS endpoints, identity systems, and enterprise SaaS applications. Lead IT projects and drive automation, security, and identity-first initiatives to improve the employee technology experience.
Design and maintain a high-performance web application focused on voice and messaging features. Collaborate with cross-functional teams to develop scalable features and optimize real-time communication performance.
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