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 based in San Francisco.
- Benefits: Flexible hours, 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 on AI model training and collaborate with innovative minds.
- 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.
Python Senior Developer - Remoto in London employer: Turing
Turing is an exceptional employer for Python Senior Developers, offering a dynamic and innovative work culture that thrives on collaboration and cutting-edge technology. With a focus on employee growth, Turing provides opportunities to work alongside top AI researchers and contribute to impactful projects in a flexible remote environment, making it an ideal choice for those seeking meaningful and rewarding employment in the fast-evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Python Senior Developer - Remoto in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews! Brush up on your coding skills and be ready to showcase your problem-solving abilities. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.
✨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 what you’ve built and how you think through problems.
✨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 Python Senior Developer - Remoto in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python and JavaScript, and any relevant projects you've worked on. We want to see how you can contribute to our cutting-edge datasets!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and software engineering. Share specific examples of high-impact products you've shipped and how they relate to the role. We love seeing your personality come through!
Showcase Your Projects:If you've got a portfolio or GitHub with projects that demonstrate your full-stack capabilities, make sure to include that link! We’re keen to see your coding style and problem-solving skills in action, especially in Python and JavaScript.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
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 high-impact projects you've worked on, particularly those in fast-paced environments. Highlight your role in the software engineering cycle, from prototyping to production implementation. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand AI and ML Concepts
Since the role involves working with AI models, brush up on your understanding of machine learning concepts. Be ready to discuss how you would curate datasets and evaluate AI-generated code. Showing familiarity with these topics will set you apart from other candidates.
✨Practice for the AI Video Interview
Don’t forget that you’ll need to complete an AI video interview. Practice answering common interview questions in front of a camera to get comfortable. Focus on clear communication and showcasing your technical expertise, as this format can be a bit different from traditional interviews.
