At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading research accelerator in AI, based in San Francisco.
- Benefits: Flexible remote work with competitive pay; perfect for tech-savvy innovators.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact in AI by collaborating with top researchers and engineers.
- Qualifications: 3+ years in software engineering 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 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 Developer | Remote Work in Bolton 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 strong emphasis on employee growth, Turing provides opportunities to work on cutting-edge projects that shape the future of AI, while promoting a flexible work culture that values expertise and creativity. Join us in San Francisco, where you can contribute to high-impact products and be part of a forward-thinking team dedicated to advancing technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer | Remote Work in Bolton
✨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 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 all about making a great first impression!
✨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, especially in full-stack applications.
✨Tip Number 4
Don’t forget to 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 Senior Python Developer | Remote Work in Bolton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python and JavaScript expertise, and any relevant projects you've worked on. We want to see how you fit into our world!
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 past work that align with what we do at Turing.
Showcase Your Projects:If you've got a portfolio or GitHub, flaunt it! Include links to projects that demonstrate your full-stack capabilities and problem-solving skills. We love seeing real-world applications of your coding prowess.
Prepare for the AI Video Interview:This is a key part of our process! Familiarise yourself with common interview questions and practice articulating your thought process. We want to see how you approach problems, so be ready to showcase your skills!
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 evaluating code for efficiency and scalability.
✨Prepare for the AI Video Interview
This is a unique part of the process, so practice answering common interview questions on camera. Focus on clear communication and showcasing your problem-solving skills. It’s a chance to demonstrate your personality and passion for software engineering, so make it count!
