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 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 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 Bury 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 high-impact contributions from talented individuals. Join us to be part of a forward-thinking team that is shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Engineer - Fully 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 those AI video interviews! Practice common questions and showcase your skills in Python and JavaScript. We recommend recording yourself to see how you come across – it’s a game changer!
✨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 what you can do, so make sure to highlight your best stuff.
✨Tip Number 4
Apply through our website! It’s the quickest way to get your application in front of us. Plus, we’re always on the lookout for talented engineers who can hit the ground running, so don’t hesitate!
We think you need these skills to ace Senior Python Engineer - Fully Remote in Bury
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 reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the extra step to connect their background with what we’re looking for.
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 and avoid jargon unless it’s relevant to the role. Remember, clarity is key!
Apply Through Our Website:Make sure to apply through our website! It’s the best way for us to keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do, so don’t miss out!
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 development cycle, from prototyping to deployment. This not only demonstrates your technical skills but also your ability to work in fast-paced environments like those at Stripe or Airbnb.
✨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 refining code for AI applications.
✨Prepare for the AI Video Interview
Don’t underestimate the AI video interview! Practice answering common interview questions clearly and concisely. Use a good webcam and ensure your background is tidy. This is your chance to make a great first impression, so be engaging and professional.
