AI Trainer: Code Generation
Embedding VC•Palo Alto, CA
6d
About The Position
We are building a focused group of engineers to improve how large language models reason through real world code. This initiative centers on evaluating and refining multi step reasoning trajectories derived from real GitHub repositories, with the goal of producing higher quality, more reliable code generation outputs. This is a long term project requiring strong engineering judgment rather than surface level labeling. Contributors will work directly with complex code paths and reasoning flows across multiple platforms.
Requirements
- Be proficient in at least two mainstream programming languages such as Python, C++, Java, TypeScript, or JavaScript
- Have real world development experience in areas such as backend systems, frontend applications, algorithms, testing, or infrastructure
- Be comfortable reading and reasoning through large GitHub repositories
- Have strong written communication skills
Nice To Haves
- Experience contributing to high visibility or high star GitHub repositories is a strong plus.
Responsibilities
- Analyze and refine multi step code reasoning trajectories generated from real production repositories.
- Reviewing model generated reasoning sequences
- Identifying logical inconsistencies or weak reasoning steps
- Improving trajectory structure to produce stronger, production grade outputs
- Evaluating reasoning quality across different programming environments
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Education Level
No Education Listed
