Code Quality Engineer - AI Training Projects

Code Quality Engineer - AI Training Projects Job 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

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.

Country:
United Arab Emirates

City:
Abu Dhabi Emirate

Industry: Computer Software

Function:
Software Engineering / Development

Salary:

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

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.

• Create expert‑level coding examples based on realistic software‑development challenges.
• Develop solutions using Python 3, Java, Rust, Go, C , or Type Script.
• 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.

The preferred candidate has significant professional expertise in at least one supported language:
Python 3, Java, Rust, Go, C , or Type Script. 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.

• Software quality engineering
• AI training‑data development
• Python 3
• Java
• Rust
• Go
• C
• Type Script
• 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

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.

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.