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 hours, remote work, and the chance to work with top-tier AI researchers.
- Other info: Ideal for tech-savvy graduates from top institutions or those with exceptional experience.
- Why this job: Make a real impact in AI by collaborating on innovative projects and advancing technology.
- Qualifications: 3+ years of software engineering experience with 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 by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialise 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 organisations. We especially welcome graduates from leading programmes 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.
Senior Python Developer - Remote in Leeds employer: Turing
Turing is an exceptional employer for Senior Python Developers, offering a dynamic remote work environment that fosters innovation and collaboration with top-tier AI researchers. With a commitment to employee growth, Turing provides opportunities to engage in cutting-edge projects that shape the future of AI, all while enjoying the flexibility of remote work from anywhere. The company values expertise and creativity, making it an ideal place for talented engineers looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer - Remote in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work at companies like Google or Amazon. A friendly chat can lead to referrals and insider info about job openings.
✨Tip Number 2
Prepare for that AI video interview! Brush up on your Python and JavaScript skills, and be ready to showcase your problem-solving abilities. Practising common coding challenges can really help you stand out.
✨Tip Number 3
Show off your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can make a huge difference. It gives potential employers a taste of your coding style and expertise.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Python Developer - Remote in Leeds
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with Python and JavaScript. We want to see how you've built full-stack applications and any cool projects you've worked on that showcase your coding prowess.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. We love seeing candidates who understand what we do and how they can contribute to our mission.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your skills and experiences stand out!
Apply Through Our Website:Make sure to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Turing
✨Know Your Tech Stack Inside Out
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. Be ready to discuss your experience with full-stack applications and how you've tackled challenges in previous projects.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your approach to software engineering tasks. Think about how you would handle prototyping, architecture design, and API design. Be ready to share specific examples where you’ve successfully implemented solutions or improved existing systems.
✨Familiarise Yourself with AI Concepts
Since the role involves working with AI models, it’s crucial to understand the basics of AI and machine learning. Brush up on how datasets are created and evaluated, and be prepared to discuss your thoughts on improving AI-generated code.
✨Practice for the AI Video Interview
Don’t underestimate the AI video interview! Practice answering common interview questions clearly and confidently. Consider recording yourself to review your body language and tone, ensuring you come across as engaged and knowledgeable.
