Crossing Hurdles partners with Mercor and a leading AI research team to engage skilled software engineers in training and refining large language models (LLMs).
Requirements
- Strong professional experience of back-end development experience
- Skilled in multiple server-side languages, notably Python and Node.js
- Expertise designing and implementing RESTful APIs and GraphQL endpoints
- Deep knowledge of relational databases (PostgreSQL, MySQL) and NoSQL systems (MongoDB, Redis)
- Strong understanding of database performance optimization and web security best practices
- Experience with asynchronous job processing and comprehensive test frameworks
- Experience in containerization (e.g., Docker)
Responsibilities
- Curate advanced coding datasets and benchmark model outputs to improve AI understanding of programming practices
- Collaborate with engineering teams to teach AI models human coding techniques including writing, debugging, and optimizing code
- Annotate and evaluate AI-generated code across languages to ensure efficiency, scalability, and enterprise-level quality
- Provide text, voice, or video data and feedback to help models learn from human expertise
- Curate and correct code examples in Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go
- Assess and refine AI outputs for adherence to programming efficiency and reliability standards
- Collaborate cross-functionally to enhance AI-driven coding tools and benchmark large language model performance
Other
- Hourly Contract
- Remote or in-person
- 9:00am–5:30pm PST for the first two weeks; then aligned with your local time zone
- Detail-oriented with excellent logical reasoning and problem-solving skills
- Familiarity with front-end technologies such as TypeScript or React to aid cross-team collaboration
