Top Artificial Intelligence Jobs in Davao City

Welo Data seeks contributors fluent in Tagalog to work on AI-related language data tasks including annotation, evaluation, and prompt creation, with remote and flexible opportunities.

The role involves researching and writing various content types related to technology and SaaS, focusing on user-friendly copy that aligns with clients' voice and style.

The role involves managing client relationships, negotiating complex deals for FICO's software solutions, and achieving direct sales targets in the Philippines.

The role involves building client relationships, educating on the FICO Platform, managing software solutions sales, and achieving sales targets.

Lead and develop an AI-native engineering organization, focusing on engineering excellence, talent development, and automating workflows for financial services clients.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As a Front End Developer, you will enhance the website using ReactJS and WordPress, ensuring high performance and collaboration with teams.

The AI Engineer will develop and refine AI prompts for NLP applications, integrate AI capabilities into EHR systems, and collaborate with teams for optimal model performance.

Seeking a proactive Virtual Assistant for administrative and specialized tasks in automation and AI. Responsibilities include managing schedules, reports, and chatbot development, while optimizing workflows.

Build AI agents that automate supply chain processes, integrate with enterprise systems, and develop backend services for high-performance applications.

Take ownership of an AI-powered SaaS platform by stabilizing it, managing infrastructure and deployments, integrating AI components, maintaining a CRM, and improving the frontend. Document processes for future understanding.

The AI Data Operations Analyst will manage AI-human review processes, validate AI data, support manual uploads, and build automation workflows to optimize operations and reporting.

The AI Support Specialist optimizes chatbot functionality, implements knowledge base enhancements, collaborates with product teams, and maintains customer communication and documentation.

The role involves building workflows and dashboards, developing RAG systems, and scripting in Python or JavaScript while utilizing AI tools for rapid development.

The role involves developing AI solutions for financial institutions, focusing on generative AI and LLM-based applications like chatbots, document processing, and voice solutions. You'll work with AWS services to improve customer interactions and compliance.

Lead the design and integration of AI solutions in financial services, ensuring customer satisfaction and technical solution alignment while mentoring technical teams and maintaining compliance.

The Software Engineer will focus on AI performance, benchmarking, and building infrastructure for evaluating AI systems. Responsibilities include developing pipelines, collaborating with teams, and contributing to open benchmarking frameworks.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

As a Forward Deployed Engineer, you will collaborate with customers, develop integrations and AI solutions, and optimize data flow within the platform, while also guiding technical adoption and ensuring alignment across teams.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Lead the product vision and strategy for an AI sales tech product, collaborating with design and engineering teams to enhance sales processes and deliver a competitive, user-focused product.

The Front End Developer will customize and optimize the website using ReactJS, ensuring design and performance meet user experience standards, while collaborating in a team environment.

This internship involves developing AI-driven solutions, testing features with LLMs, building prototypes, collaborating with engineers, and exploring AI capabilities.

Develop and enhance AI and .NET Core services, architect AI workflows, and create automated data extraction tools for clinical referrals.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.