About the Role
The role involves developing and evaluating code to enhance AI performance, with a focus on language-specific accuracy and technical precision for Chinese-speaking markets.
Responsibilities
- Write clean, functional code to support AI training datasets
- Evaluate and correct AI-generated code for accuracy and efficiency
- Ensure code aligns with Chinese language programming standards
- Collaborate with engineers to refine model outputs
- Identify patterns in code errors and suggest improvements
- Test software logic across multiple scenarios
- Provide feedback on AI model behavior in real-world applications
- Maintain documentation for coding guidelines and best practices
- Assist in creating benchmarks for code quality
- Review multilingual code outputs for consistency
- Debug sample programs generated by AI systems
- Translate technical requirements into executable code
- Validate logic structures in algorithm implementations
- Improve model responses through iterative coding tasks
- Support quality assurance for AI-driven programming tools
- Analyze code for syntax, semantics, and style
- Contribute to training data curation for machine learning
- Flag inconsistencies in automated coding suggestions
- Work with version control systems for code tracking
- Ensure compliance with coding security standards
- Participate in peer reviews of coding tasks
- Optimize code for performance and readability
- Assist in developing coding challenges for model testing
- Monitor AI performance on language-specific tasks
- Report findings and trends to development leads
Compensation
Competitive salary based on experience
Work Arrangement
Remote position with flexible hours
Team
Collaborative team focused on AI development and training
Why This Role Matters
- This position directly shapes how AI systems understand and generate code in Chinese contexts, improving accuracy and usability for millions of users.
- Your work will influence the next generation of AI coding assistants in multilingual environments.
What You’ll Work With
- You’ll interact with large language models, code repositories, and testing frameworks designed to evaluate and enhance AI-generated programming solutions.
- Tools include code editors, debugging environments, and internal AI feedback platforms.
Not available for this role
