Coding Expert

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

1. Review, assess, and refine code generated by AI models to ensure accuracy and efficiency.
2. Create, test, and solve complex coding problems and real-life scenarios.
3. Develop diverse and challenging test cases to evaluate model performance.
4. Deliver constructive feedback and transparent reasoning to guide AI improvements.
5. Collaborate with cross-functional teams to define coding standards and quality benchmarks.
6. Engage in continuous learning to stay updated with the latest advancements in programming languages and AI model training.
7. Document findings, best practices, and recommendations for ongoing model refinement.

Required Skills and Qualifications:

1. Master’s degree in Computer Science or Bachelor’s with 4+ years of strong coding experience.
2. Proficiency in at least one core language: Python, Java, C++, JavaScript, Go, or Rust.
3. Solid understanding of data structures, algorithms, and advanced problem-solving techniques.
4. Demonstrated expertise in code review, debugging, and delivering clean, efficient code.
5. Experience using frameworks and technologies such as React, Node.js, .NET, PHP, Typescript, HTML, and Angular.
6. Excellent written and verbal communication skills to clearly articulate technical concepts and feedback.
7. Strong attention to detail and a passion for mentoring AI to produce best-in-class code.

Preferred Qualifications:

1. Experience with AI/ML, LLMs, prompt engineering, or similar emerging technologies.
2. Active GitHub or other public coding profiles showcasing past projects and code contributions.
3. Background in designing or evaluating AI coding assistants or large language models.

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