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 with Python and JavaScript expertise.
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 Leeds 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 focus 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 high-impact field. The flexibility of engagement allows for a balanced work-life integration, appealing to top talent from prestigious institutions and leading tech companies.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer - remote work in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those using Python and JavaScript. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for that AI video interview! Practice common questions and think about how you can demonstrate your problem-solving skills. Remember, it’s not just about coding; it’s about showing your thought process too.
✨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 spot your enthusiasm and skills.
We think you need these skills to ace Python Developer - remote work 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. Mention specific experiences that relate to the role, especially around AI model training and software engineering cycles.
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 break down your skills and experiences, making it easier for us to see what you bring to the table.
Apply Through Our Website:Make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
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 ability to work collaboratively in a team.
✨Understand AI and ML Concepts
Since the role involves working with AI models, it’s crucial to have a solid grasp of AI and machine learning principles. Be ready to discuss how you’ve applied these concepts in your previous work, especially in curating datasets or evaluating code.
✨Practice for the AI Video Interview
Don’t underestimate the AI video interview! Familiarise yourself with common questions and practice your responses. Focus on clear communication and showcasing your problem-solving skills, as this format may assess both your technical knowledge and your ability to articulate your thought process.
