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 remote work with competitive pay and opportunities for growth.
- Other info: Ideal for tech-savvy graduates from top CS programs or those with exceptional skills.
- Why this job: Make an impact in AI by working on innovative projects with top researchers.
- 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 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 Developer - remote work in London employer: Turing
Turing is an exceptional employer for Python Developers, offering the unique opportunity to work remotely while contributing to cutting-edge AI research. With a strong focus on employee growth and collaboration, Turing fosters a dynamic work culture that values innovation and expertise, making it an ideal environment for engineers looking to make a significant impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer - remote work 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
Show off your skills! Create a portfolio showcasing your projects, especially those using Python and JavaScript. This is your chance to shine and demonstrate what you can do.
✨Tip Number 3
Prepare for that AI video interview! Practice common questions and showcase your problem-solving skills. Remember, it’s not just about coding; it’s about how you think through challenges.
✨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 Python Developer - remote work 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 used these languages in real projects, so don't hold back on the details!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific experiences that align with the job description, especially around building full-stack applications and working in fast-paced environments. It shows us you’re genuinely interested!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for the team!
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’s super easy!
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 in fast-paced environments like Turing.
✨Understand AI and ML Concepts
Since this 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 evaluating code.
✨Practice for the AI Video Interview
Don’t forget that you’ll need to complete an AI video interview. Familiarise yourself with common questions and practice speaking clearly and confidently. This is your chance to showcase your personality and passion for software engineering, so make it count!
