Remote Software Engineer Annotator for AI Datasets

Odixcity Consulting; La Réunion; Remote; EUR 60,000 - 90,000; Full time

Job summary

Odixcity Consulting is seeking a Software Engineer Annotator to evaluate, label and improve software engineering datasets used for AI and LLM training. You will review AI-generated code, validate outputs, and ensure high-quality technical annotations aligned with engineering best practices.

Responsibilities include annotating datasets for AI training, reviewing code for correctness, efficiency, readability and security, labeling tasks such as code completion and refactoring, and providing

Qualifications

• Bachelor's degree in CS, SE, or IT.
• 3–5 years as a Software Engineer.
• Experience in data annotation, AI training, and code review.
• Strong programming background in Python, Java, JavaScript, C++, or Go.
• Solid understanding of software engineering principles, data structures, and algorithms.
• Ability to annotate, label, and evaluate code datasets accurately.
• Familiarity with SDLC and coding best practices.
• Familiarity with APIs, backend systems, and web technologies.
• Basic knowledge of AI/ML/LLMs is a plus.
• Capability to compare multiple AI-generated responses and rank them by accuracy.

Responsibilities

• Annotate and review software datasets for AI training.
• Review AI-generated code for correctness, efficiency, readability, and security.
• Label datasets for tasks like 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.

Skills

Programming languages

Data annotation

AI training familiarity

SDLC knowledge

Education

Bachelor's degree

Tools

Annotation platforms

Job description

Odixcity Consulting is seeking a Software Engineer Annotator to evaluate, label and improve software engineering datasets used for AI and LLM training. You will review AI-generated code, validate outputs, and ensure high-quality technical annotations aligned with engineering best practices.

Responsibilities include annotating datasets for AI training, reviewing code for correctness, efficiency, readability and security, labeling tasks such as code completion and refactoring, and providing