Senior JavaScript/React Engineer for AI Training

Role Overview

As a Senior JavaScript/React Engineer, you will play a pivotal role in advancing AI training initiatives by creating innovative datasets for large language models. This position involves close collaboration with researchers to curate code examples, provide solutions, and enhance AI-driven coding solutions, primarily focusing on Python and JavaScript technologies.

Key Responsibilities

• Curate code examples, build solutions, and correct code primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code to ensure efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
• Develop agents and automated verification tools in Python to verify code quality and identify error patterns.
• Hypothesize on software engineering cycle steps and evaluate model capabilities on them.
• Design verification mechanisms to automatically validate solutions to software engineering tasks.

Qualifications

• Minimum of 3 years of software engineering experience.
• Strong expertise in Python, with in-depth knowledge of frameworks, tooling, and best practices for production-grade software.
• Experience in building full-stack applications and deploying scalable software using modern languages and tools.
• Deep understanding of software architecture, design, development, debugging, and code quality assessment.
• Excellent oral and written communication skills for structured evaluation rationales.

Work Terms

• Flexible engagement, minimum commitment of 10 hours per week, up to 40 hours per week.
• Contractor status (no medical/paid leave).
• Initial duration of 1 month, with potential extensions based on performance and fit.
• Candidates must be based in the United States.

Compensation

Compensation details will be discussed during the interview process.

Eligibility

• Completion of an AI video interview is required as part of the evaluation process.
• The application process takes approximately 15, 30 minutes.