Top Artificial Intelligence Jobs in the Philippines

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

The AI Operations & Strategy Lead will manage operations and a team to optimize AI-generated visual content, focusing on efficiency and quality improvements.

As AI Operations Manager, you'll manage and grow a team of editors, utilizing data analytics to improve productivity and ensure quality in image editing.

The Business Development Manager will engage SMB clients across various industries, employing a consultative sales approach to sell AI-driven business automation solutions and drive sales cycles using HubSpot CRM.

As an AI Software Engineer, spearhead the development of a voice tool, engage in full lifecycle development, design APIs, and improve processes while ensuring quality and collaboration.

The Fractional CTO will define technical strategy, mentor teams, integrate AI and no-code tools, and drive innovation in the health and wellness sector.

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

Lead AI experiments, develop AI solutions, collaborate with teams, and maintain AI models in production within the financial sector.

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.

Join the AI Automation team as an Engineer, focusing on automation solutions, scripting, and developing impactful AI-powered applications. Candidates should have experience in DevOps and automation tools.

Design, build, and maintain server-side applications for AI-driven solutions, integrating AI models and optimizing performance in collaboration with team members.

Seeking a Front-End Developer with AI experience to design and optimize user-facing applications. Responsibilities include developing features with modern frameworks and integrating AI functionalities.

Develop and maintain full-stack applications integrating AI. Responsibilities include building user interfaces, optimizing APIs, and collaborating with teams on AI solutions.

As a Senior Backend Engineer, you will design scalable infrastructure, ensure efficient product flows, and implement state-of-the-art voice cloning and text-to-speech solutions.

Lead client onboarding, configure AI systems, build automations, design engagement flows, and refine workflows for sales automation.

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.

Run high-volume influencer outreach on Instagram, track responses in a CRM, maintain account hygiene, and follow targeting guidelines.

The Team Manager will lead a team of AI Trainers, managing content annotation and evaluation while ensuring quality and productivity in a gaming context.

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

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.

Design, build, and deploy AI agents and systems, integrating with APIs and databases. Collaborate on responsible AI implementations and support DevOps and MLOps workflows.

Responsible for conducting privacy assessments, implementing data privacy policies, developing privacy-enhancing technologies, and championing privacy and AI best practices.

The ML/AI Engineer will design, develop, and implement machine learning models and AI solutions, collaborating with software engineers and cross-functional teams.