Top Artificial Intelligence Jobs in Davao City

Own enterprise accounts in the Philippines while based in Singapore, driving new logo acquisition and expansion revenue. Lead complex sales cycles with technical and business stakeholders, demonstrate AI-powered developer tools, guide evaluations and rollouts, build executive relationships, quantify ROI, generate outbound pipeline, and provide customer feedback to influence product direction.

Leads multiple technical sales teams in the Philippines, driving AI and cloud transformation initiatives, pipeline and forecast accuracy, revenue growth, customer and partner engagement, competitive strategy, and sales execution. Manages organizational resources, coaches sales specialists, develops talent and succession plans, promotes technology-enabled selling, and aligns Microsoft solutions with customer business outcomes and market opportunities.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Drive new business and expansion across mid-market accounts in the Philippines. Build territory plans, generate pipeline, close deals, develop partner relationships, cross-sell and upsell existing customers, deliver forecasts, present technical solutions, and use AI-assisted sales tools to improve qualification and accuracy.

Leads enterprise HR technology strategy, Workday HCM implementation and optimization, HR data governance, workforce analytics, process transformation, automation, responsible AI, vendor management, and cross-functional program delivery. Builds executive reporting, oversees HR technology architecture and integrations, manages budgets and partners, and leads teams across HR systems, people analytics, data governance, process improvement, and program delivery.

Bridges business needs and AI solutions by gathering requirements, assessing AI and automation opportunities, developing business cases, supporting solution design and delivery, facilitating stakeholder collaboration, assisting testing and implementation, and tracking project outcomes, benefits, reports, and continuous improvement initiatives.

Leads operational oversight for AI-powered products and platforms, monitoring performance, developing dashboards, analyzing business outcomes, and driving process improvement. The role supports AI governance, risk management, compliance, operational standards, forecasting, and scalable operating models. It also partners with engineering, product, and business stakeholders to deliver operational excellence and present strategic recommendations.

Leads the strategy, roadmap, delivery, and continuous improvement of AI-powered products. Defines product vision, requirements, priorities, metrics, and success criteria while collaborating with executives, engineering, AI, data science, and business teams. Oversees product launches, adoption, performance optimization, stakeholder communication, and responsible AI governance. Requires strong product management, analytical, commercial, Agile, executive communication, and cross-functional leadership skills.

Supports responsible AI governance through framework development, risk and impact assessments, fairness and transparency reviews, regulatory compliance, documentation, stakeholder advisory, training, and continuous improvement. The role collaborates with technical, legal, compliance, risk, and business teams to promote ethical, accountable, and trustworthy AI adoption.

Supports the day-to-day operation, monitoring, reporting, governance, and continuous improvement of AI-powered platforms. Analyzes performance metrics, identifies operational issues and optimization opportunities, develops dashboards and reports, maintains procedures and documentation, and coordinates issue resolution across AI engineers, product teams, operations leaders, and business stakeholders. The role also supports AI adoption, compliance, risk mitigation, and operational standards.

Evaluates AI chatbot functionality, response quality, accuracy, compliance, and conversational effectiveness. Executes test plans, regression testing, and user acceptance testing; documents defects and test results; analyzes conversation flows and recurring issues; collaborates with AI trainers, prompt engineers, and development teams; prepares performance reports; and supports chatbot optimization, testing standards, and evaluation framework improvements.

Build and scale customer-facing and internal web applications for an AI-powered eCommerce customer service platform. Develop and enhance AI agents, integrate eCommerce platforms, apply privacy and security practices, and help shape the product’s technical direction. As the founding technology team member, the role offers significant ownership, equity, and potential progression into technical leadership.

Oversee portfolios of Generative AI data operations projects, managing delivery, capacity planning, vendors, budgets, quality, risks, automation, and client reporting. Coach project managers and coordinators, collaborate with recruiting and finance, enforce data security and compliance, and improve processes across distributed teams.

Lead and execute AI-driven consumer product initiatives for search, recommendations, personalization, and conversational experiences. Collaborate with engineering, design, data, and business teams to define requirements, use data and user feedback to refine products, and deliver improvements within the contract period.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

Provides full-time remote executive and administrative support to U.S.-based healthcare practice owners. Manages calendars, inboxes, tasks, projects, meetings, reporting, presentations, patient follow-up, vendors, invoices, SOPs, and compliance reminders. Uses Claude to draft communications, summaries, agendas, and reports while reviewing all outputs for accuracy, judgment, brand voice, HIPAA compliance, and confidentiality. Coordinates across owners, staff, patients, and vendors while maintaining reliable follow-through.

Supports healthcare practice owners remotely by managing calendars, inboxes, tasks, projects, meetings, reporting, patient follow-up, vendors, invoices, and administrative workflows. Uses Claude to draft communications, summaries, agendas, and presentations while reviewing all outputs for accuracy, judgment, confidentiality, and HIPAA compliance. Maintains task trackers, SOPs, brand voice files, and daily and weekly reporting.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Join Welo Data’s remote Tagalog contributor network for future AI data projects. Work may include annotating text, images, or audio; evaluating search results, ads, or chatbot responses; creating prompts; and checking cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment.

Join a Philippines-based contributor network supporting AI development through text, image, and audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects are flexible and remote, varying from several days to weeks. Contributors receive project details and compensation information before deciding whether to participate.

Manages social media publishing and content distribution across LinkedIn, Facebook, and Instagram; schedules posts, repurposes podcast content, coordinates promotional assets, and monitors publishing calendars. Supports podcast administration, newsletter creation and scheduling in GoHighLevel, content organization, recurring workflows, and deadline tracking. Uses ChatGPT and other AI-assisted processes while maintaining the client’s tone. The role is part-time, remote, flexible, and focused on execution, coordination, and administrative support rather than content creation or production.

Uses AI tools to review, restructure, consolidate, and transform training and knowledge content. Responsibilities include analyzing documents, refining prompts and question banks, validating AI-generated outputs, simplifying complex information, identifying duplication, maintaining document versions, and collaborating with clients to produce accurate, practical training and assessment materials.

Own the end-to-end architecture, development, deployment, and iteration of AI-native client systems. Build production applications with Node.js, Python, React, and TypeScript; deploy on Azure; create CI/CD pipelines; and develop agentic systems using LLM tool-use, MCP, and agent runtimes. Translate ambiguous business problems into scalable technical solutions, collaborate directly with the founder, challenge assumptions, and document implementations.