Remote Senior Python Engineer

Project Overview As a Software Engineering evaluator, you will create cutting‑edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections—primarily focused on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI‑generated code for efficiency, scalability, and reliability, working with cross‑functional teams to enhance enterprise‑level AI‑driven coding solutions. Typical Day Work on AI model training initiatives by curating code examples, building solutions, and correcting 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 it is efficient, scalable, and reliable. Collaborate with cross‑functional teams to enhance AI‑driven coding solutions against industry performance benchmarks. Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (3+ years). Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production‑grade software. Experience 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. Engagement Details Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Duration: 1 month (potential extensions based on performance and fit). Location: Candidates must be based in the United States. Evaluation Process The application process takes 15–30 minutes. Completion of an AI video interview is required. #J-18808-Ljbffr