Full Stack Engineer Annotator

About the role

The Full Stack Engineer Annotator will work on assessing and labeling both frontend and backend engineering datasets to help AI models understand full‑stack workflows, architecture, and implementation patterns. You will collaborate with data science teams to ensure high‑quality annotations that improve model performance.

Key responsibilities

• Annotate full‑stack application datasets, covering UI, API, and database interactions.
• Evaluate integration logic between frontend and backend components.
• Review UI interactions with APIs and databases, noting edge cases.
• Label debugging, optimization, and feature‑implementation tasks.
• Rank AI‑generated solutions based on performance, maintainability, and best practices.
• Produce technical documentation and evaluation notes for each annotated dataset.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 3–5 years of experience as a Full Stack Developer.
• Strong understanding of system architecture and deployment workflows.
• Proven debugging and problem‑solving abilities.
• Certification in at least one of the following: Meta Front‑End Developer Professional Certificate, AWS Certified Developer – Associate, Microsoft Certified Full Stack Developer, or Certified Scrum Developer (CSD).

Required skills

• React, Angular, or Vue.js
• HTML5, CSS3, JavaScript (ES6+)
• Node.js, Python, Java, or C#
• RESTful API design and consumption
• SQL/NoSQL databases and authentication systems

What we offer

• Opportunity to influence AI model training with real‑world engineering data.
• Collaborative environment with data scientists and engineers.
• Professional development through certification support.