Senior Python Engineer for LLM Evaluation [Remote]
$50 per hourSaidGig
- Remote job
Role Overview
As a Senior Python Engineer focused on LLM Evaluation, you will play a pivotal role in creating advanced datasets for training and benchmarking large language models. Collaborating closely with researchers, you will curate code examples, provide precise solutions, and make necessary corrections, primarily utilizing Python while also engaging with other languages such as JavaScript, C/C++, Java, Rust, and Go.
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 steps in the software engineering cycle 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/review assessment.
- Excellent oral and written communication skills for clear, structured evaluation rationales.
Work Terms
- Flexible engagement, with a 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.
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