Job Opening: Part-Time WordPress Web Developer – Work From Home

Location: Anywhere in the Philippines, remote or province

Salary: PhP 240 per hour

Hours: 2–3 hours per day, Monday to Friday (flexible hours, day shift)

About the Work

Looking for extra income with a flexible, work-at-home opportunity? This could be the perfect fit!

Are you an experienced Part-Time WordPress Web Developer ready for new and exciting career opportunities? We’re connecting top talent with leading organizations, and this role is ideal for professionals who are passionate about advancing their careers, gaining international experience, and embracing a remote work lifestyle.

As a WordPress Web Developer, you’ll craft engaging online experiences for clients, developing functional and user-friendly websites. This role includes building login systems, dashboards, and backend databases, making it an ideal match for those who thrive in technical, creative, and collaborative projects.

About the Company

Our client is a leader in their field, dedicated to providing exceptional services. They value innovation, efficiency, and client satisfaction—and recognize the vital role that a skilled web developer plays in achieving these goals.

Key Responsibilities

• Design and develop visually appealing WordPress websites using Elementor or similar page builder software.
• Create login systems and dashboards with backend database integration for secure and efficient solutions.
• Collaborate with the team to understand project requirements and translate them into functional websites.
• Troubleshoot and resolve technical issues to ensure optimal website performance.
• Stay up-to-date with industry trends to deliver cutting-edge web solutions.

1. Proficient in commonly used data structures, AI algorithms, and design patterns.

2. Skilled in quantitative training, machine learning, user profiling, and user behavior feature profiling.

3. Proficient in commonly used machine learning and AI algorithm frameworks, capable of efficiently building, training, and optimizing models.

4. Familiar with neural network model compiler optimization.

5. Deep understanding of model structures such as CNN, RNN, and Transformer, with mastery of the advantages and disadvantages of different algorithms and their applicable scenarios.

Only candidates with relevant industry experience will be considered.