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, fully remote work, and the chance to work with top AI researchers.
- Other info: Ideal for tech-savvy graduates from top CS programs or those with exceptional experience.
- Why this job: Make a real impact in AI by collaborating on innovative projects with advanced technologies.
- 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 shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, 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 Bolton employer: Turing
Turing is an exceptional employer for Senior Python Engineers, offering a fully remote work environment that fosters innovation and collaboration with top AI researchers. With a strong emphasis on employee growth, Turing provides opportunities to work on cutting-edge projects in AI, while promoting a flexible work culture that values expertise and creativity. Joining Turing means being part of a forward-thinking team dedicated to advancing technology in a supportive and dynamic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Engineer - Fully Remote in Bolton
✨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 that AI video interview! Practice common questions and showcase your skills. We recommend recording yourself to see how you come across.
✨Tip Number 3
Show off your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really impress potential employers.
✨Tip Number 4
Apply 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 Bolton
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 align with 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 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 ability to hypothesise and evaluate steps in the software engineering cycle. Think of examples where you’ve designed solutions or verified code. This will show that you can think critically and contribute to AI model training initiatives.
✨Familiarise Yourself with AI Concepts
Since this role involves working closely with AI researchers, it’s a good idea to brush up on AI concepts and how they relate to software engineering. Being able to discuss how you can curate datasets for training and benchmarking will set you apart.
✨Practice for the AI Video Interview
Don’t forget that you’ll need to complete an AI video interview. Practice answering common technical questions and explaining your thought process clearly. This is your chance to shine, so make sure you’re comfortable speaking about your experiences and skills.
