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 tech.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact in AI by refining code and building innovative solutions.
- Qualifications: 3+ years of software engineering experience, strong Python skills, and full-stack development knowledge.
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 top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, 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 — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
- Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.
- 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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 Software Engineer (AWS) - Fully Remote in London employer: Turing
Turing is an exceptional employer for Senior Software Engineers, offering a fully remote work environment that fosters innovation and collaboration with leading AI researchers. With a commitment to employee growth, Turing provides opportunities to work on cutting-edge projects in a flexible setting, allowing engineers to contribute to the advancement of AI technology while enjoying a supportive and dynamic work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (AWS) - Fully Remote in London
✨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 and insider info about job openings.
✨Tip Number 2
Prepare for that AI video interview! Brush up on your coding skills and be ready to showcase your problem-solving abilities. Practise common interview questions and maybe even record yourself to see how you come across.
✨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. Make sure to highlight any experience with Python and 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 the initiative to connect directly with us.
We think you need these skills to ace Senior Software Engineer (AWS) - Fully Remote 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 any other languages mentioned in the job description. We want to see how you've built production systems and tackled challenges in your previous roles.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Software Engineer role. We love seeing candidates who take the extra step to connect their experience with what we’re looking for.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to break down your achievements and skills, making it easier for us to see why you’d be a great fit.
Apply Through Our Website:Make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the other languages mentioned, like JavaScript, C/C++, and Rust. Brush up on frameworks and best practices for building production-grade software, as you'll likely be asked to discuss your experience with these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your ability to evaluate and refine AI-generated code. Think of examples where you've improved code efficiency or scalability in past projects. Be ready to walk through your thought process during the interview.
✨Understand the Software Engineering Cycle
Familiarise yourself with the steps in the software engineering cycle, from prototyping to operational maintenance. You might be asked to hypothesise on these steps, so having a clear understanding will help you articulate your thoughts effectively.
✨Prepare for the AI Video Interview
Since an AI video interview is part of the assessment, practice answering common technical questions on camera. Focus on clear communication and confidence, as this format can be a bit different from traditional interviews.
