Remote Senior Software Engineer for AI Training & RL

Xperteez Technology Pvt Ltd

Dubai Emirate

Remote

AED 220,000 - 331,000

Part time

9 days ago
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Job summary

Xperteez Technology Pvt Ltd is seeking a Senior Software Engineer for a remote contractor role (~15 hrs/week). You will apply expert coding skills across Python3, Java, Rust, and more to build Reinforcement Learning environments for AI model evaluation.

Start promptly and contribute to robust, scalable features while refining legacy code. Responsibilities include debugging complex systems, optimizing performance, and documenting decisions to improve training data quality.

Qualifications

  • Significant hands-on expertise in Python3, Java, Rust, Go, C++, or TypeScript.
  • Deep understanding of algorithms, data structures, and software engineering principles.
  • Proven ability to debug complex systems and deliver effective optimizations.

Responsibilities

  • Contribute expert-level code samples, debugging strategies, and development insights in multiple languages.
  • Analyze, troubleshoot, and resolve complex defects and performance bottlenecks.
  • Implement robust new features ensuring scalability and maintainability.
  • Refactor and optimize legacy code to improve clarity and reliability.
  • Document technical reasoning and code decisions to enhance AI training data quality.
  • Review and validate peer-contributed code for accuracy and clarity.

Skills

Python3
JAVA
Rust
Algorithms
Basics C++
Typescript
Bug fixing
Feature implementation
Codebase refactoring
Performance optimization

Job description

Xperteez Technology Pvt Ltd is seeking a Senior Software Engineer for a remote contractor role (~15 hrs/week). You will apply expert coding skills across Python3, Java, Rust, and more to build Reinforcement Learning environments for AI model evaluation.

Start promptly and contribute to robust, scalable features while refining legacy code. Responsibilities include debugging complex systems, optimizing performance, and documenting decisions to improve training data quality.

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