Software Engineer Annotator

Odixcity Consulting

España

A distancia

EUR 53.000 - 79.000

Jornada completa

hace 20 horas
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Descripción de la vacante

Odixcity Consulting is seeking an experienced Software Engineer Annotator to help evaluate, label, and improve AI training datasets consisting of software engineering content. You will review AI-generated code for correctness, readability, and security, and provide structured feedback to guide model improvements.

This is a remote, world-wide opportunity. Join a collaborative team that values precision, clear guidelines, and strong programming fundamentals across Python, Java, JavaScript, C++, or

Formación

  • Bachelor’s degree in CS, software engineering, or IT.
  • 3–5 years experience as Software Engineer.
  • Experience in data annotation and AI training.
  • Proficient in Python, Java, JavaScript, C++, or Go.
  • Knowledge of SDLC and coding best practices.
  • Understanding of APIs, backend systems, and web tech.
  • Ability to annotate and evaluate code datasets accurately.
  • Familiarity with annotation platforms or labeling tools.

Responsabilidades

  • Annotate and review software engineering datasets for AI training.
  • Evaluate AI-generated code for correctness, efficiency, readability, and security.
  • Label datasets for code completion, debugging, refactoring, and optimization.
  • Provide structured feedback to improve model performance.
  • Ensure adherence to annotation guidelines and quality standards.
  • Collaborate with AI trainers, reviewers, and data teams.

Conocimientos

Python
Java
JavaScript
C++
Go

Educación

Bachelor's degree in computer science, software engineering, or information technology

Herramientas

Annotation platforms

Descripción del empleo

Job Title:

Software Engineer Annotator (remote)

Location:

Remote (world-wide)

Job Summary:

We are seeking an experienced Software Engineer Annotator responsible for evaluating, labeling, and improving software engineering datasets used for Artificial Intelligence and Large Language Model (LLM) training. The ideal candidate will apply strong programming knowledge to review AI-generated code, validate outputs, and ensure high-quality technical annotations aligned with engineering best practices.

Job Responsibilities
  • Annotate and review software engineering datasets for AI training.
  • AI-generated code for correctness, efficiency, readability, and security.
  • Label datasets including code completion, debugging, refactoring, and optimization tasks.
  • Provide structured feedback to improve model performance.
  • Ensure adherence to annotation guidelines and quality standards.
  • Collaborate with AI trainers, reviewers, and data teams.
Job Requirements
  • Bachelor’s degree in computer science, software Engineering, or information Technology
  • Minimum of 3- 5 years’ experience as a Software Engineer.
  • Prior experience in data annotation, AI training, and coding review.
  • Strong programming background in Python, Java, JavaScript, or C++, or Go.
  • Solid understanding of software engineering principles, data structures, and algorithms.
  • Ability to annotate, label, and evaluate code datasets accurately.
  • Familiarity with software development lifecycle (SDLC) and coding best practices.
  • Understanding of APIs, backend systems, and web technologies.
  • Basic knowledge of Artificial intelligence, machine learning, or Large Language Models (LLM) is an advantage.
  • Capability to compare multiple AI-generated responses and rank them based on accuracy and usefulness.
  • Familiarity with annotation platforms or labeling tools.
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