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 AI Voice Support Specialist manages AI Voice submissions, supports clients, configures setups, and collaborates across departments. Strong communication and technical skills are essential.

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.

The role involves developing AI-driven automation solutions, debugging systems, shipping SaaS products, and ensuring security while working remotely.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

Manage the AI roadmap and build data and ML infrastructure. Deploy models while ensuring compliance, quality, and cost management.

The AI-Enabled Copywriter will create high-volume, SEO-optimized content using AI tools while collaborating with marketing teams to meet targets.

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.

Seeking established no-code development agencies to create AI-driven solutions, collaborate with teams, and innovate user experiences across platforms.

The No Code and AI Automations Specialist will design, implement, and manage automation systems integrating AI components to streamline processes.

Seeking a part-time Fractional CTO to guide AI and no-code technology strategy, mentor teams, and ensure system security and scalability.

As AI Tech Strategy Manager, lead execution of executive strategy, manage multiple initiatives, align teams, track performance, and leverage AI tools for insights.

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

Create high-quality, SEO-optimized content using AI tools like ChatGPT, managing large volumes under tight deadlines in a collaborative environment.

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.

As an AI Content Specialist, you will create engaging content for various digital platforms, lead marketing copywriting, manage PR briefs, and ensure brand consistency.

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

The Automation & AI Specialist will create automations and AI tools to enhance efficiency across teams, ensuring quality and measurable impact.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

The role combines designing AI/ML architectures and hands-on engineering on AWS. Responsibilities include client requirements gathering, cloud architecture design, and implementing CI/CD for AI workloads.