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 enthusiasts eager to push boundaries in AI and software development.
- 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 Engineer - Fully Remote in London employer: Turing
Turing is an exceptional employer for Senior Python Engineers, offering a fully remote work environment that fosters innovation and collaboration with top-tier AI researchers. With a commitment to employee growth, Turing provides opportunities to work on cutting-edge projects in AI, while promoting a flexible work culture that values expertise and creativity. Join us to be part of a forward-thinking team that is shaping the future of technology from anywhere in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Engineer - Fully Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for those AI video interviews! Practice common questions and showcase your skills. We want to see your personality shine through, so be yourself!
✨Tip Number 3
Showcase your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. Let us see what you've built!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Python Engineer - Fully Remote in London
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 tackled challenges in your previous roles. Don't hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that align with the job description. We love seeing candidates who take the time to connect their background with what we're looking for at Turing.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and fluff. Make it easy for us to see why you're a great fit for the Senior Python Engineer position!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
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 Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex software engineering challenges. Think about how you approached prototyping, architecture design, or debugging in past projects. This will demonstrate your ability to think critically and apply your skills effectively.
✨Familiarise Yourself with AI Concepts
Since this role involves working closely with AI models, it’s crucial to understand the basics of AI and machine learning. Be ready to talk about how you’ve contributed to AI-related projects or how you would approach curating datasets for training models.
✨Practice for the AI Video Interview
As part of the application process, you’ll need to complete an AI video interview. Familiarise yourself with common questions and practice speaking clearly and concisely. This is your chance to showcase your personality and technical expertise, so make it count!
