Code Quality Engineer - AI Training Projects
Posted date [2026-08-19]
(ID: 49857)
 |
YO IT Consulting specializes in recruiting remote professionals for AI training and data annotation projects with global companies. Based in Abu Dhabi Emirate, United Arab Emirates, the company connects qualified talent worldwide with flexible remote opportunities that contribute to the development and improvement of modern artificial intelligence systems. |
Job Description and Requirements
Code Quality Engineer - AI Training ProjectsJob Snapshot
Role: Code Quality Engineer - AI Training Projects
Location: Abu Dhabi Emirate, United Arab Emirates
Industry: Computer Software
Function: Software Engineering / Development
Experience: Advanced hands-on development experience
Job Type: Contractor
Position Overview
YO IT Consulting is seeking a Code Quality Engineer - AI Training Projects for a remote Computer Software contract based in Abu Dhabi Emirate, United Arab Emirates. The engineer will develop and evaluate high-quality coding examples that strengthen how artificial intelligence systems understand debugging, feature delivery, refactoring, optimization, and software-design decisions.
Job Details
Country: United Arab Emirates
City: Abu Dhabi Emirate
Industry: Computer Software
Function: Software Engineering / Development
Salary: 18000-35000
Estimated salary range based on similar jobs in Abu Dhabi Emirate; please confirm the final offer with the employer.
Gender: Any
Candidate Nationality: Any
Job Type: Contractor
Role Context
This assignment uses real software-engineering experience to create reliable
AI training material. The engineer will solve technically demanding coding scenarios, explain the reasoning behind each decision, and review submissions produced by other contributors.
Strong outputs must be correct, maintainable, efficient, and supported by documentation that makes the problem-solving approach understandable.
Key Responsibilities
* Create expert-level coding examples based on realistic software-development challenges.
* Develop solutions using Python 3, Java, Rust, Go, C++, or TypeScript.
* Examine unfamiliar codebases and determine how their major components interact.
* Reproduce complex failures and trace them to their technical source.
* Document debugging strategies, observations, tests, and final conclusions.
* Correct functional defects, edge-case failures, and integration problems.
* Locate performance bottlenecks and apply measurable improvements.
* Implement substantial features from technical requirements through verified delivery.
* Design new components for scalability, readability, and future maintenance.
* Refactor legacy code while protecting required behaviour and interfaces.
* Simplify inefficient logic and improve code organization where appropriate.
* Apply algorithms and data structures suited to each problem.
* Create tests that demonstrate expected outcomes and prevent regressions.
* Explain design alternatives, assumptions, risks, and implementation trade-offs.
* Prepare technical notes that increase the value of AI training examples.
* Review code and written submissions contributed by other engineers.
* Check peer work for accuracy, clarity, completeness, and engineering quality.
* Identify hidden errors, unsupported reasoning, or weak optimization claims.
* Provide constructive revision guidance supported by technical evidence.
* Incorporate project feedback and refine submissions during review cycles.
Ideal Profile
The preferred candidate has significant professional expertise in at least one supported language: Python 3, Java, Rust, Go, C++, or TypeScript. Strong knowledge of algorithms, data structures, system design, debugging, and performance engineering is required.
Applicants should have experience refactoring large codebases, modernizing legacy systems, and delivering high-impact features in collaboration with cross-functional teams. The ability to communicate complex technical reasoning clearly is essential.
Previous AI experience is not mandatory. An active interest in AI engineering, model behaviour, and the quality of technical training data would be valuable.
Skills Set
* Software quality engineering
* AI training-data development
* Python 3
* Java
* Rust
* Go
* C++
* TypeScript
* Algorithms and data structures
* Complex debugging
* Root-cause analysis
* Performance profiling
* Software optimization
* Feature development
* Codebase refactoring
* Legacy system modernization
* Automated testing
* Regression prevention
* Peer code review
* Technical reasoning
* Engineering documentation
* Cross-functional collaboration
Why Join Us
This contract provides experienced engineers with a practical opportunity to improve the technical capabilities of advanced AI systems. The work offers varied coding challenges, flexible remote participation, and scope to apply engineering judgement beyond conventional product-development assignments.
About the Company
YO IT Consulting connects software specialists with targeted technology and AI engagements. This project uses expert coding, technical review, and documented problem-solving to improve the quality of AI training data for software-engineering tasks.
Strong outputs must be correct, maintainable, efficient, and supported by documentation that makes the problem-solving approach understandable.
Key Responsibilities
* Create expert-level coding examples based on realistic software-development challenges.
* Develop solutions using Python 3, Java, Rust, Go, C++, or TypeScript.
* Examine unfamiliar codebases and determine how their major components interact.
* Reproduce complex failures and trace them to their technical source.
* Document debugging strategies, observations, tests, and final conclusions.
* Correct functional defects, edge-case failures, and integration problems.
* Locate performance bottlenecks and apply measurable improvements.
* Implement substantial features from technical requirements through verified delivery.
* Design new components for scalability, readability, and future maintenance.
* Refactor legacy code while protecting required behaviour and interfaces.
* Simplify inefficient logic and improve code organization where appropriate.
* Apply algorithms and data structures suited to each problem.
* Create tests that demonstrate expected outcomes and prevent regressions.
* Explain design alternatives, assumptions, risks, and implementation trade-offs.
* Prepare technical notes that increase the value of AI training examples.
* Review code and written submissions contributed by other engineers.
* Check peer work for accuracy, clarity, completeness, and engineering quality.
* Identify hidden errors, unsupported reasoning, or weak optimization claims.
* Provide constructive revision guidance supported by technical evidence.
* Incorporate project feedback and refine submissions during review cycles.
Ideal Profile
The preferred candidate has significant professional expertise in at least one supported language: Python 3, Java, Rust, Go, C++, or TypeScript. Strong knowledge of algorithms, data structures, system design, debugging, and performance engineering is required.
Applicants should have experience refactoring large codebases, modernizing legacy systems, and delivering high-impact features in collaboration with cross-functional teams. The ability to communicate complex technical reasoning clearly is essential.
Previous AI experience is not mandatory. An active interest in AI engineering, model behaviour, and the quality of technical training data would be valuable.
Skills Set
* Software quality engineering
* AI training-data development
* Python 3
* Java
* Rust
* Go
* C++
* TypeScript
* Algorithms and data structures
* Complex debugging
* Root-cause analysis
* Performance profiling
* Software optimization
* Feature development
* Codebase refactoring
* Legacy system modernization
* Automated testing
* Regression prevention
* Peer code review
* Technical reasoning
* Engineering documentation
* Cross-functional collaboration
Why Join Us
This contract provides experienced engineers with a practical opportunity to improve the technical capabilities of advanced AI systems. The work offers varied coding challenges, flexible remote participation, and scope to apply engineering judgement beyond conventional product-development assignments.
About the Company
YO IT Consulting connects software specialists with targeted technology and AI engagements. This project uses expert coding, technical review, and documented problem-solving to improve the quality of AI training data for software-engineering tasks.
