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Description
[Highly skilled in Python] Type : Full Time, Hybrid Perks: US organisation, handsome compensation Compensation: upto $20/hour (~upto Rs 2.5L per month) - based on skill level Role Overview: A well-funded AI research company is looking for candidates with strong Python knowledge. What does day-to-day look like? As an RLHF (Reinforcement Learning from Human Feedback) Contributor in the Python domain , you will evaluate, refine, and improve AI-generated content related to Python programming, software development, algorithms, data structures, and best coding practices . Your expertise will help train AI models to provide accurate, efficient, and high-quality coding assistance for beginners and advanced programmers alike. Your tasks will include: Code Review & Debugging: Assess AI-generated Python code snippets for correctness, efficiency, readability, and adherence to best practices. Suggest optimizations and improvements. Algorithm & Data Structure Explanations: Evaluate AI-generated explanations of algorithms (sorting, searching, dynamic programming) and data structures (lists, dictionaries, trees, graphs). Provide refinements for clarity and depth. Error Analysis & Troubleshooting: Identify and correct AI-generated explanations for common Python errors, debugging techniques, and exception handling. Code Documentation & Comments: Improve AI-generated docstrings, comments, and explanations to ensure clarity and maintainability. Project & Application Guidance: Assess AI-generated responses for real-world Python applications, including web development (Flask/Django), data science (Pandas/Numpy), automation (Selenium), and AI/ML (TensorFlow/PyTorch). Test Case Generation: Evaluate AI-generated test cases and unit tests to ensure robustness and proper edge case handling. Performance Optimization: Assess AI-generated recommendations for code efficiency, profiling, and memory optimization techniques. Industry Standards & Best Practices: Ensure AI-generated responses align with PEP 8 guidelines, modular coding principles, and security best practices . Requirements: Proficiency in Python with a strong understanding of programming concepts. Experience in software development, scripting, or automation using Python. Knowledge of algorithms, data structures, and debugging techniques. Strong analytical and problem-solving skills. Ability to explain complex programming concepts clearly for learners of different skill levels. Experience working with IDEs, version control (Git), and testing frameworks (pytest/unittest). Preferred: Bachelorās/Masterās degree in Computer Science, Software Engineering, or a related field. Experience in Python libraries/frameworks (e.g., Flask, Django, Pandas, NumPy, TensorFlow, OpenCV). Familiarity with AI-powered coding tools (e.g., Copilot, ChatGPT, Codex, Codeium). Experience with software architecture, API development, or DevOps . Prior experience in coding education, tutorials, or technical writing . Benefits: Collaborate with globally renowned experts and build a network tailored to your career aspirations. Experience the flexibility of remote work while breaking away from traditional office setups. Receive industry-standard salaries in USD. Contribute to innovative projects pushing the boundaries of technology, keeping you at the forefront of advancements. Complete an online assessment! Join us in revolutionizing AI! ā
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