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: Dynamic role with opportunities for growth in a fast-paced tech environment.
- 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 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.
Senior Python Developer - Remote in Bury 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. The company values expertise and experience, creating a culture where talented individuals can thrive and make meaningful contributions to advanced AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer - Remote 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 dream job.
✨Tip Number 2
Prepare for that AI video interview! Practice common questions and showcase your skills in Python and JavaScript. We want to see your personality shine through, so don’t be afraid to let your passion for coding show!
✨Tip Number 3
Show off your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. We love seeing real examples of your coding prowess and problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented developers like you to join our team!
We think you need these skills to ace Senior Python Developer - Remote in Bury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with Python and JavaScript, especially in full-stack development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us at Turing and how your background makes you a perfect fit for the Senior Python Developer role. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any impressive projects, make sure to mention them in your application. We love seeing real-world applications of your skills, especially those that demonstrate your ability to build scalable software.
Apply Through Our Website:Don’t forget 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’s super easy to do!
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 understanding of machine learning principles. Be ready to discuss how you’ve applied these concepts in your previous work, especially in curating datasets or evaluating AI-generated code.
✨Practice for the AI Video Interview
Don’t underestimate the AI video interview! Familiarise yourself with common questions and practice your responses. Ensure you’re in a quiet environment with good lighting, and remember to maintain eye contact with the camera to create a connection, even if it’s virtual.
