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Full Stack Engineer Annotator

Odixcity Consulting

Mid 🇬🇧 English
React Angular Vue HTML5 CSS3 JavaScript (ES6+) Node.js Python Java C# REST APIs Databases Authentication systems System architecture Deployment workflows Debugging

Description du poste

About the role

The Full Stack Engineer Annotator will work on labeling and evaluating full‑stack application datasets to ensure AI models accurately understand frontend and backend workflows, architecture, and implementation patterns. This role bridges software development and data annotation, supporting the creation of high‑quality training data for AI solutions.

Key responsibilities

  • Annotate full‑stack application datasets, covering both frontend and backend components.
  • Evaluate integration logic between UI layers and APIs or databases.
  • Review UI interactions with APIs, authentication mechanisms, and data storage.
  • Label debugging, optimization, and feature implementation tasks for AI training.
  • Rank AI‑generated solutions based on performance, maintainability, and scalability.
  • Produce technical documentation and evaluation notes for annotated data.

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 experience with modern frontend technologies (React, Angular, Vue, HTML5, CSS3, JavaScript ES6+).
  • Proficiency in backend technologies such as Node.js, Python, Java, or C#.
  • Experience with REST APIs, databases, and authentication systems.
  • Understanding of system architecture, deployment workflows, and debugging.
  • 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
  • Vue
  • HTML5
  • CSS3
  • JavaScript (ES6+)
  • Node.js
  • Python
  • Java
  • C#
  • REST APIs
  • Databases
  • Authentication systems
  • System architecture
  • Deployment workflows
  • Debugging and problem‑solving

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