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 while working with advanced technologies.
- Qualifications: 3+ years of software engineering experience, strong Python skills, and full-stack development.
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 - Full Stack (Remote) in Bolton employer: Turing
Turing is an exceptional employer for Senior Software Engineers, offering a dynamic remote work environment that fosters innovation and collaboration with leading 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 also valuing diverse experiences and skills over traditional credentials. The company's commitment to flexible engagement allows engineers to balance their professional and personal lives effectively, making it an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Full Stack (Remote) in Bolton
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at companies like Google or Amazon. A friendly chat can lead to referrals, which are often the golden ticket to landing an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and full-stack applications. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for that AI video interview! Brush up on common technical questions and practice coding challenges. Being well-prepared will help you feel more confident and make a great impression.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it makes it easier for us to track your application and get back to you quickly.
We think you need these skills to ace Senior Software Engineer - Full Stack (Remote) in Bolton
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 full-stack projects you've worked on. We want to see how you've tackled real-world problems and what tools you used to get the job done!
Tailor Your Application:Don’t just send a generic application! Take a moment to tailor your CV and cover letter to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background to what we do.
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 and avoid jargon unless it’s relevant to the role. Remember, clarity is key!
Apply Through Our Website:Make sure to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and JavaScript. Brush up on frameworks and tools you’ve used in past projects, as you might be asked to discuss your experience with them in detail.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your approach to solving complex problems. Think of examples from your previous work where you had to debug or optimise code. Be ready to explain 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 a good idea to brush up on relevant concepts. Understand how large language models work and be prepared to discuss any experience you have with machine learning or data pipelines.
✨Practice for the AI Video Interview
Since you’ll be going through an AI video interview, practice answering common technical questions on camera. Focus on clear communication and concise answers, as the AI will be assessing not just your knowledge but also how you present it.
