Search for remote Senior Software Engineer roles in San Francisco, focusing on projects involving AI and public GitHub repositories, with experience in Python or JavaScript, for contract positions with a commitment of 20 hours per week.

Okay, I've searched for remote Senior Software Engineer roles in San Francisco related to AI projects and public GitHub repositories. I found several contract positions that require experience in Python or JavaScript and a commitment of 20 hours per week. You have 45 relevant positions to explore.

Senior Software Engineer

San Francisco, CA

Remote

Python

JavaScript

20 hours/week

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Remote Senior Software Engineer at Turing revolves around leveraging advanced AI knowledge to evaluate and train language models (LLMs) in realistic software engineering contexts while contributing to the development of high-quality datasets. The primary responsibilities entail analyzing and triaging GitHub issues from prominent open-source repositories, setting up development environments, and assessing the quality and coverage of unit tests. The need for familiarity with significantly starred repositories underscores the importance of practical experience with recognizable, reliable codebases, and this aligns with Turing's emphasis on advancing AI systems. Candidates will likely face challenges such as navigating complex legacy codebases, ensuring that LLMs can effectively tackle real-world software issues, and collaborating across teams to facilitate AI research—requiring excellent problem-solving capabilities. Success in this role will involve not only technical proficiency but also the ability to translate AI research findings into practical applications, particularly in dealing with bugs and supporting junior engineers, positioning the incumbent as a vital contributor to Turing's mission of innovation in AI deployment.

Company Analysis:

Turing operates at the forefront of AI infrastructure, catering to a market characterized by rapid advancements in machine learning and artificial intelligence. Positioned as a promising leader in this space, Turing's role in connecting AI labs and real-world applications indicates a proactive stance towards pioneering the development of sophisticated AI systems. This environment creates a culture that is likely innovation-driven, collaborative, and mission-oriented, aiming to tackle complex real-world challenges through technological advancement. The Senior Software Engineer role fits within a broader context that involves direct collaboration with researchers and emerging engineers, indicating that while individual contributions are paramount, teamwork and shared knowledge are also essential for success. Overall, the opportunity not only addresses pressing needs within AI research but also seeks to position Turing as a key player in defining the landscape of AI-assisted software development, hinting at strong growth ambitions where this role is crucial for operational execution and strategic alignment with the company's future directives.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to analyze a significant issue in a software project. How did you approach it?
Describe a complex problem you solved in a previous engineering role. What was the process you followed to find a solution?
Can you share an experience where you had to lead a project or a team? What challenges did you face, and how did you navigate them?
How do you prioritize tasks when dealing with multiple issues in a codebase?
How would you evaluate the quality and coverage of unit tests in an existing GitHub repository?
What steps would you take to set up a Docker environment for a specific software project?
If tasked with modifying a local codebase to assess its performance in bug-fixing scenarios, what factors would you consider?
Imagine you are given a GitHub repository with a lot of existing issues. How would you identify which ones to triage first?
Why are you interested in working at Turing specifically, given its focus on AI and LLMs?
How do your values align with Turing's mission of advancing AI-stacked systems?
What attracts you to the field of AI-assisted software development, and how do you think you can contribute to it here?
What tools or methods would you suggest for automating the evaluation of LLM performance in software tasks?
How do you stay updated with trends in AI and software engineering, and how would you apply this knowledge in your role at Turing?

Job Details

Overview Company

Senior Software Engineer

Turing

4 days ago

Highlight

RemoteContractorSenior

Summary

Turing is seeking a Remote Senior Software Engineer to join their team. The role involves building LLM evaluation and training datasets to enhance AI-assisted software development.

About the Role

As a Remote Senior Software Engineer, you will analyze and triage GitHub issues, set up and configure code repositories, evaluate unit test coverage, and collaborate with researchers to design challenging repositories for LLMs. You will also have opportunities to lead a team of junior engineers.

About You

Required:

Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby.
Experience working with well-maintained, widely-used repositories with 500+ stars.
Proficiency with Git, Docker, and basic software pipeline setup.
Ability to understand and navigate complex codebases.
Comfortable running, modifying, and testing real-world projects locally.

Preferred:

Previous participation in LLM research or evaluation projects.
Experience building or testing developer tools or automation agents.

Benefits

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading LLM companies.

Turing

Turing is one of the world’s fastest-growing AGI infrastructure companies accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Powering this growth is Turing’s talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.

Turing—based in San Francisco, California—was named #1 on The Information’s annual list of “Top 50 Most Promising B2B Companies,” and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.

San Francisco, CA