Node.JS Developer

Role Overview

As a Node.js Developer at SaidGig, you will help shape next-generation AI systems by contributing to how models learn, reason, and perform. You’ll work with multidisciplinary teams to integrate high-quality real-world inputs and develop scalable backend solutions for AI model training and performance.

Responsibilities

• Use your expertise in Node.js, JavaScript, and TypeScript to provide technical input and feedback on AI system development.
• Review and analyze code samples to ensure correctness, efficiency, and adherence to best practices.
• Collaborate with data scientists, AI researchers, and software engineers to identify backend engineering patterns and problem-solving strategies.
• Evaluate real-world Node.js scenarios to build robust, scalable, and maintainable solutions for model training.
• Document insights, edge cases, and technical considerations clearly for both technical and non-technical stakeholders.
• Communicate complex concepts to support AI model training and cross-functional understanding.

Qualifications

• Extensive hands-on experience with Node.js, JavaScript, and TypeScript in professional environments.
• Strong problem-solving and debugging skills in distributed application systems.
• Strong attention to detail for code review and documentation.
• Excellent written and verbal communication skills with clarity and thoroughness.
• Deep understanding of backend application architectures and common development patterns.
• Ability to analyze and articulate technical trade-offs.
• Proactive, collaborative cross-functional teamwork approach.

Preferred Qualifications

• Experience contributing to AI-related projects or model training initiatives.
• Experience designing or maintaining large-scale, high-availability Node.js applications.
• Familiarity with remote collaboration and asynchronous communication tools.

Benefits

• Flexible remote work arrangements.
• Competitive compensation: $30–$90 hourly, based on experience.
• Ongoing professional development, collaborative environment, and chance to work on AI projects with real-world impact.
• Emphasis on work-life balance and growth resources.