Identify repetitive business processes and transform them into secure, reliable automated workflows using AI and integration tools. The role involves connecting business applications, documenting logic, and monitoring the operational impact of automations.
Remote Artificial Intelligence Jobs (9,419)
Search = ai
Job category = Software Development
Manage the full AI-powered content production process from research and prompt development to editing and publishing. Optimize LLM prompts and automate workflows to create high-quality, SEO-friendly content at scale.
Design, build, and deploy production-grade ML and LLM-based systems for enterprise clients. Own the end-to-end technical delivery from architecture and prototyping to monitoring and mentoring junior engineers.
Review AI-generated lexical transcripts and convert them into natural, readable text by applying punctuation and formatting rules. Ensure all original words are preserved while using reference audio only when necessary for clarification.
Review AI-generated lexical transcripts and convert them into a natural, readable text format. Apply punctuation, capitalization, and formatting rules while keeping original words intact.
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Review AI-generated lexical transcripts and convert them into natural, readable text by applying punctuation and formatting rules. Ensure all original words are preserved while using reference audio only when necessary to resolve formatting issues.
Review AI-generated lexical transcripts and convert them into a natural, readable text format. Apply punctuation, capitalization, and formatting rules while keeping original words intact.
Review AI-generated lexical transcripts and convert them into natural, readable text. Apply punctuation, capitalization, and formatting rules while keeping original words intact.
Review AI-generated lexical transcripts and convert them into natural, readable text by applying punctuation and formatting rules. Ensure all original words are preserved while using reference audio only when necessary to resolve formatting issues.
Review AI-generated lexical transcripts and convert them into a natural, readable text format. Apply punctuation, capitalization, and formatting rules while keeping original words intact.
Review AI-generated lexical transcripts and convert them into a natural, readable text format. Apply punctuation, capitalization, and formatting rules while keeping original words intact.
Review AI-generated lexical transcripts and convert them into natural, readable text by applying punctuation and formatting rules. Ensure all original words are preserved while using reference audio only when necessary to resolve formatting issues.
Review AI-generated lexical transcripts and convert them into natural, readable text by applying punctuation and formatting rules. Ensure all original words are preserved while using reference audio only when necessary to resolve formatting issues.
AI Engineering Training and Internship Program 23 APPLICANTS
FlexiSAF Edusoft
·
Full Time
·
2 Weeks Ago
FlexiSAF Edusoft
Participants will design and build intelligent, LLM-powered applications using frameworks like LangChain and RAG. The role involves implementing AI-driven workflows, chatbots, and integrating models into production-ready applications.
Design and maintain the foundational infrastructure and internal provisioning platform for generative AI applications. Focus on ensuring seamless model access, observability, security, and cost-effective LLM integrations.
Participants will engage in a self-study program to learn data science and generative AI across three levels of difficulty. They will complete curated tasks and real-life projects under the supervision of industry mentors.
Design and implement AI solution architectures, including APIs and data extraction/transformation pipelines using Python. Act as a technical interlocutor for clients and deploy scalable solutions in the cloud following clean architecture patterns.
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Lead the strategy and execution of organic search and AI visibility programs across various client accounts. Develop SEO/GEO strategies to improve rankings, AI citations, and overall website performance.
Own the end-to-end delivery of production-grade GenAI components and scalable AI-enabled services. Lead technical design decisions, establish engineering standards, and mentor other engineers to improve product quality and reliability.
Design and deliver scalable production GenAI features and AI-enabled components end-to-end. Lead technical quality, establish success metrics, and mentor teammates through design reviews and guidance.
Own the evaluation, selection, and optimization of large language models to power a data insights platform. Responsible for building evaluation frameworks and implementing production-grade AI pipelines for legal and medical document analysis.
Build and maintain the production infrastructure for training, deploying, and monitoring ML and GenAI services. Ensure the reliability, scalability, and observability of AI workflows and customer-facing APIs.
Produce high-quality AI-generated image and video content for social media and marketing channels. Establish repeatable AI workflows and best practices while staying current with emerging generative AI tools.
Founding AI Engineer – Internal Copilot Platform
Ondo Finance
·
Full Time
·
2 Weeks Ago
Ondo Finance
Architect and build an internal AI copilot platform to automate workflows and connect company data across various tools. The role involves owning the end-to-end development of AI-powered systems from backend services to user interfaces.
Develop modern AI-powered applications and integrations using a full-stack approach across front-end, backend, and cloud infrastructure. Ensure the scalability, security, and operational efficiency of AI automation capabilities for federal government clients.
Design and develop AI-enabled features and agentic workflows for web-based government applications using LLMs and GenAI. Implement RAG pipelines and establish LLM observability and responsible AI guardrails.
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Build and operate a high-volume AI-driven content factory to drive demos and revenue. This includes producing multi-format content and managing paid ad campaigns across Meta, LinkedIn, and Reddit.
The role involves building and operating AI tooling and MCP integrations to automate workflows across G&A, GTM, and Engineering departments. You will also manage technical governance, conduct AI vendor security reviews, and create reference architectures for internal teams.
Lead content modernization for enterprise clients by designing information architecture, taxonomy, and content models that serve both humans and AI systems. Collaborate with cross-functional teams to establish governance frameworks and improve content discoverability across AI assistants and search engines.
Architect, scale, and optimize scientific codebases to power Large Quantitative Models for drug and materials discovery. Transition high-impact research prototypes into robust, production-grade software and orchestrate distributed training pipelines on GPU infrastructure.
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