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At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with world’s leading AI research labs to build and train cutting-edge AI models.
Position: Backend Engineering Specialist (Full Time)
Type: Hourly Contract
Compensation: $90k-$200k/per year
Location: Remote or in-person
Schedule: 9:00am–5:30pm PST for the first two weeks; then aligned with your local time zone
Role Overview
- 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
Key Responsibilities (Training support will be provided)
- 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
- Improve annotation tools and data workflows to bolster training quality
- Design coding tasks that challenge AI’s technical reasoning and problem-solving ability
Ideal Qualifications
- 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
Preferred Qualifications
- Detail-oriented with excellent logical reasoning and problem-solving skills
- Experience in containerization (e.g., Docker)
- Familiarity with front-end technologies such as TypeScript or React to aid cross-team collaboration
Application Process
- Complete a 15-minute screening interview
- Technical deep-dive discussion of software engineering and annotation experience
- Take-home coding or annotation challenge
- Team meet-and-greet with project collaborators
Key Skills
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