The company is looking to develop high-quality training data to power the next generation of AI in software innovation.
Requirements
- Expertise in software engineering, algorithms, data structures, debugging, software architecture, version control, testing frameworks, and code optimization
- Knowledge of object-oriented programming, functional programming paradigms, API design, concurrency, cloud-native development, and DevOps practices
- Experience with programming languages and software development tools
- Familiarity with testing frameworks and code optimization techniques
- Understanding of software development best practices
- Experience with version control systems
- Knowledge of cloud-native development and DevOps practices
Responsibilities
- Converse with advanced language models on coding scenarios and theoretical programming questions
- Verify code correctness and logical soundness
- Capture reproducible error traces
- Suggest improvements to prompt engineering and evaluation metrics
- Challenge advanced language models on topics like object-oriented programming, functional programming paradigms, API design, concurrency, cloud-native development, and DevOps practices
- Document every failure mode to harden model reasoning
- Test and debug code
Other
- A bachelor's or master's degree in computer science, software engineering, or a closely related field
- Clear, metacognitive communication—'showing your work'—is essential
- Peer-reviewed publications, software development projects, or contributions to open source signal fit
- Supply a secure computer and high-speed internet as a contractor
- Work remotely
