SaidGig

Fullstack Engineer for AI Model Training

$30–$120/hr

RemoteContracttechnologyUpdated Jun 5, 2026
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About this role

Role Overview

As a Fullstack Engineer, you will play a crucial role in training next-generation AI systems by developing and implementing scalable solutions. Your contributions will directly influence how AI models learn and perform, leveraging your domain expertise to provide high-quality, real-world input.

Key Responsibilities
  • Develop, test, and deploy scalable frontend and backend solutions to meet evolving business requirements.
  • Design and implement RESTful APIs to facilitate seamless communication between system components.
  • Collaborate with UX/UI designers to deliver intuitive and engaging user experiences.
  • Participate in code reviews, ensuring best practices and high-quality code standards are maintained.
  • Troubleshoot, debug, and optimize application performance across the stack.
  • Stay current with emerging technologies and advocate for continuous process improvements.
  • Work closely within the customer''s team to translate requirements into technical solutions.
Qualifications
  • Proven hands-on experience with both frontend and backend frameworks.
  • Expertise in designing, building, and consuming APIs (RESTful or GraphQL).
  • Strong understanding of modern web technologies, architectures, and development methodologies.
  • Experience in version control systems such as Git.
  • Demonstrated ability to collaborate effectively in a remote, distributed team setting.
  • Excellent problem-solving and analytical skills with a detail-oriented approach.
  • Bachelor’s degree in Computer Science or related technical field, or equivalent practical experience.
Preferred Qualifications
  • Familiarity with DevOps practices and cloud-based infrastructure.
  • Experience with automated testing frameworks.
  • Background in Agile/Scrum methodologies.
Work Terms

Employment Type: Contract

Compensation

Hourly rate ranges from $30 to $120.

Eligibility

This position is remote, and no prior experience in AI is required; your domain knowledge is what matters.

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