At a Glance
- Tasks: Create cutting-edge datasets and collaborate on AI model training initiatives.
- 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 those from top universities or with exceptional experience.
- Why this job: Make a real impact in AI while working 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 built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs 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 Developer - Remote employer: Turing
Turing is an exceptional employer for Senior Python Developers, offering a dynamic remote work environment that fosters innovation and collaboration with top-tier AI researchers. With a commitment to employee growth, Turing provides opportunities to engage in cutting-edge projects that shape the future of AI, all while enjoying the flexibility of remote work from anywhere. The company's culture prioritises excellence and inclusivity, making it an ideal place for talented engineers looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer - Remote
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work at companies like Google or Amazon. A friendly chat can lead to referrals that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Python and JavaScript projects. Make sure it’s easy to navigate and highlights your full-stack capabilities. This is your chance to impress potential employers with real examples of your work.
✨Tip Number 3
Prepare for that AI video interview! Brush up on common technical questions and practice coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable before the real deal.
✨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 the initiative to connect directly with us.
We think you need these skills to ace Senior Python Developer - Remote
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 don’t forget to mention any relevant projects or roles that showcase your full-stack capabilities.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and software engineering. Share specific examples of your work that align with our mission at Turing, and show us how you can contribute to our team.
Showcase Your Projects:If you’ve worked on any interesting projects, especially those involving AI or full-stack development, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy!
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 approach to software engineering tasks. Think about how you would handle prototyping, architecture design, and API design. Be ready to share specific examples where you’ve successfully implemented solutions or improved existing systems.
✨Familiarise Yourself with AI Concepts
Since the role involves working with AI models, it’s crucial to understand the basics of AI and machine learning. Brush up on how datasets are created and evaluated, and be prepared to discuss how you can contribute to training and refining AI-generated code.
✨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 interview questions and practice speaking clearly and confidently. This is your chance to showcase your personality and technical expertise, so make it count!
