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, remote work, and the chance to work with top AI researchers.
- Other info: Ideal for tech-savvy graduates from strong CS programs.
- Why this job: Make a real impact in AI by collaborating on innovative projects.
- Qualifications: 3+ years of software engineering experience with Python and JavaScript expertise.
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 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
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for that AI video interview! Practice common questions and showcase your skills in Python and JavaScript. We want to see your problem-solving abilities shine!
✨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. Let us see what you can do with full-stack applications!
✨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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your Python and JavaScript expertise, and any relevant projects you've worked on. We want to see how you’ve made an impact in previous roles!
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 demonstrate your problem-solving skills and creativity.
Showcase Your Projects:If you've got a portfolio or GitHub with projects, don’t hold back! Include links in your application. We love seeing real-world applications of your skills, especially if they involve full-stack development or AI.
Prepare for the AI Video Interview:This is a key part of our process! Practice answering common technical questions and be ready to discuss your thought process. We want to see how you approach problems, so be yourself and let your passion for coding shine through!
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, as they might come up. Be ready to discuss your past projects and how you’ve used these technologies to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your approach to software engineering challenges. Think about the software engineering cycle and be ready to hypothesise on prototyping, architecture design, and more. Practise explaining your thought process clearly, as this will show your analytical skills.
✨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 advancing AI systems through your coding expertise.
✨Prepare for the AI Video Interview
This is a unique part of the process, so make sure you’re comfortable with video interviews. Practise answering common interview questions on camera, and ensure your environment is quiet and professional. This will help you present yourself confidently and clearly.
