At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code across full-stack applications.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible remote work with competitive pay and opportunities for growth.
- Other info: Engage in a dynamic environment with flexible hours and exciting projects.
- Why this job: Make an impact in AI by collaborating with top researchers and engineers.
- Qualifications: 3+ years of software engineering experience, strong Python and JavaScript skills.
The predicted salary is between 60000 - 80000 £ per year.
About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents.
This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable. 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 can automatically verify a solution to a software engineering task.
- Several years of software engineering experience (3 years or more)
- Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases.
- Experience deploying scalable, production-grade software using modern languages and tools.
- Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week
Type: Contractor (no medical/paid leave)
Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview.
Python Developer - remote work in Bury employer: Turing
Turing is an exceptional employer for Python Developers, offering the unique opportunity to work remotely while contributing to cutting-edge AI research. With a strong emphasis on employee growth and collaboration, Turing fosters a dynamic work culture that values innovation and expertise, making it an ideal environment for engineers looking to advance their careers in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer - remote work in Bury
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Python Developer gig.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects and contributions. We want to see your coding chops in action, especially with Python and JavaScript. It’s a great way to stand out from the crowd!
✨Tip Number 3
Prepare for that AI video interview! Brush up on your technical knowledge and practice common interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable in front of the camera.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented developers like you. Don’t miss out on the chance to join a cutting-edge team working on AI advancements. Let’s make it happen!
We think you need these skills to ace Python Developer - remote work in Bury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Python Developer role. Highlight your experience with Python and JavaScript, especially in building full-stack applications. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include any relevant projects you've worked on, especially those involving AI or large-scale systems. We love seeing practical examples of your work, so don’t hold back on sharing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're excited about this role at Turing and how your background makes you a great fit. We appreciate a personal touch that shows your enthusiasm.
Prepare for the AI Video Interview:Don’t forget about the AI video interview! Brush up on your coding skills and be ready to discuss your thought process. We want to see how you approach problems, so be clear and confident in your explanations.
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in Python and JavaScript, especially React and Node.js. Brush up on your knowledge of C/C++, Java, Rust, and Go too, as they might come up during the interview. Being able to discuss your experience with these languages confidently will show that you're a strong candidate.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built full-stack applications. Highlight your role in the software engineering cycle, from prototyping to deployment. This not only demonstrates your technical skills but also your understanding of the entire process, which is crucial for this role.
✨Practice Problem-Solving
Since you'll be evaluating AI-generated code, practice solving coding problems and debugging. Use platforms like LeetCode or HackerRank to sharpen your skills. Being able to think critically and solve problems on the spot will impress your interviewers.
✨Prepare for the AI Video Interview
Since an AI video interview is part of the process, get comfortable with the format. Practice answering common interview questions on camera, focusing on clarity and confidence. This will help you feel more at ease and present yourself better during the actual interview.
