> Markdown version of [/jobs/ext/3711200-software-engineer-annotator](https://www.wearedevelopers.com/jobs/ext/3711200-software-engineer-annotator). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer Annotator - **Company:** Odixcity Consulting - **Location:** Valencia, Spain - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Code Generation, Computer Programming, Data Structures, Software Debugging, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Software Engineering, Large Language Models, Backend, Information Technology - **Published:** October 13, 2026 - **Apply:** https://www.buscojobs.com.es/software-engineer-annotator-en-valencia-ID-376501805 ## About the Role 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 ResponsibilitiesAnnotate 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 RequirementsBachelor's degree in computer science, software Engineering, or information TechnologyMinimum 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. #J-*****-Ljbffr ## Description Job Title: Software Engineer Annotator (remote)Location: Remote (world-wide)Job SummaryWe 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 ResponsibilitiesAnnotate 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 RequirementsBachelor's degree in computer science, software Engineering, or information TechnologyMinimum 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.#J-*****-Ljbffr