The role involves developing data sets and operational models to solve complex business problems for strategic customers. You will collaborate with cross-functional teams to build AI-driven cloud solutions and contribute to open-source software assets.
Remote Software Development Jobs (50,004)
Job category = Software Development
Oversee data acquisition, cleaning, and the development of scalable operational models to solve complex customer challenges. Drive strategy, ethics, and privacy discussions while collaborating with cross-functional teams to build innovative AI solutions.
Manage the performance and availability of datacentre networks across the US and UK while serving as a technical lead for client projects. Diagnose complex network issues and maintain NGFW firewall configurations to ensure seamless service delivery.
Design, build, and maintain scalable server-side applications while translating complex business requirements into efficient code. Mentor junior engineers and drive architectural decisions using the latest .NET technologies.
Lead and develop a team of BI analysts to deliver dashboards, data models, and ad hoc analysis. Serve as the primary BI point of contact for business categories, bridging the gap between stakeholders and data engineering.
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Define the long-term strategy and roadmap for Enterprise API and Component squads, overseeing the Partner SDK and Developer Portal. Lead and mentor Senior Product Managers while establishing operational rhythms to ensure high-quality API stability and documentation.
Build and optimize data pipelines and infrastructure using Databricks and AWS to power analytics and insights. Collaborate with BI teams to translate business needs into scalable data models and implement secure data sharing solutions.
Design and deliver scalable, secure, and maintainable software systems that power Bankrate's digital products. Mentor other engineers and collaborate with product and design teams to translate business goals into technical solutions.
Architect complex, cross-team technical solutions that align with business goals and ensure system scalability and security. Lead technical design for large-scale initiatives while mentoring engineers and evaluating emerging technologies to drive growth.
Review and improve real-world business scenarios used to train AI planning assistants in an educational context. Break down ambiguous problems, structure approaches, and deliver clear strategic recommendations.
Review and improve technical engineering scenarios used to train AI planning assistants in an educational context. Map decision trees and justify technical conclusions to ensure the AI can effectively tutor university-level students.
Create structured materials and reasoning to identify comparable companies for target businesses to train AI models. Review company characteristics and articulate the financial and strategic logic behind peer group selection.
Review and improve real-world marketing scenarios used to train AI planning assistants in an educational context. Break down campaign challenges, map decision trees, and justify strategic decisions with concrete data.
Review and improve real-world nutrition scenarios to train AI planning assistants in clinical and educational contexts. Break down dietary challenges, map decision trees, and justify clinical decisions with concrete data.
Review and improve real-world clinical scenarios to train AI planning assistants acting as nutrition tutors. Break down dietary challenges, map decision trees, and justify evidence-based reasoning for students and healthcare professionals.
Develop and refresh technical enablement content for SE and Delivery functions to empower partners in selling and supporting the Zscaler portfolio. Manage global programs with direct ownership of the APJ region and maintain the Partner Academy learning journeys.
Lead the Identity & Access Management (IAM) program and IT automation initiatives, primarily using Okta. Design and implement secure, automated systems for user lifecycle management and attribute-driven access controls.
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The specialist will rate AI model performance, label content, and create training data to improve LLM reasoning and language capabilities. Responsibilities include rewriting text, generating prompts, and compiling diverse datasets for machine learning 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 to written text to improve LLM reasoning.
The role involves rating AI model performance, labeling content, and creating training data through text generation and transformation. Responsibilities also include rewriting text for clarity and gathering diverse digital content to fine-tune LLMs.
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, 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 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 machine learning.
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 to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for machine learning.
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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 to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
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