At a Glance
- Tasks: Create cutting-edge datasets and refine AI-generated code for full-stack applications.
- Company: Join Turing, a leading research accelerator in frontier AI.
- Benefits: Flexible hours, remote work, and potential for contract extensions.
- Other info: Engage in a dynamic environment with opportunities for growth and innovation.
- Why this job: Make an impact in AI while working with top-tier tech and talented teams.
- Qualifications: 3+ years in software engineering with expertise in Python and JavaScript.
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 by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialise in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organisations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programmes 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 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.
- Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
- Work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
- Build agents that can verify the quality of the code and identify error patterns across full-stack applications.
- 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.
Requirements:
- 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).
Duration: 1 month (potential extensions based on performance and fit).
Completion of an AI video interview is required.
Senior Software Engineer - Full Stack (Remote) in Leigh employer: Turing
Turing is an exceptional employer for Senior Software Engineers, offering a dynamic remote work environment that fosters innovation and collaboration at the forefront of AI technology. With a strong commitment to employee growth, Turing provides opportunities to work alongside top-tier researchers and engineers, enhancing your skills while contributing to impactful projects that shape the future of intelligent systems. The company's culture prioritises flexibility and creativity, making it an ideal place for those seeking meaningful and rewarding employment in a cutting-edge field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Full Stack (Remote) in Leigh
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software engineering space. Attend meetups, webinars, or online events where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and JavaScript. Make sure to include any AI-related work you've done. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for that AI video interview! Brush up on common questions and practice coding challenges. We recommend simulating the interview environment to get comfortable. The more prepared you are, the more confident you'll feel!
✨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. Don’t miss out on this opportunity!
We think you need these skills to ace Senior Software Engineer - Full Stack (Remote) in Leigh
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with full-stack development, especially in Python and JavaScript. We want to see how you've tackled challenges in your previous roles, so don't hold back on the details!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that align with our focus on AI and software engineering. This shows us you’re genuinely interested and have done your homework!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for the team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
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 (React, Node.js). Brush up on your knowledge of C/C++, Java, Rust, and Go too. Being able to discuss your experience with these languages confidently will show that you’re a strong candidate.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex software engineering challenges. Think about how you’ve improved code efficiency or scalability in past projects. This will demonstrate your ability to evaluate and refine AI-generated code effectively.
✨Understand the AI Landscape
Since Turing is at the forefront of AI, it’s crucial to have a grasp of current trends and challenges in AI development. Familiarise yourself with concepts like large language models and their applications. This knowledge will help you engage in meaningful discussions during the interview.
✨Prepare for the AI Video Interview
As part of the application process, you'll need to complete an AI video interview. Practice answering common interview questions on camera to get comfortable. Focus on clear communication and showcasing your technical expertise, as this format may assess both your verbal skills and technical knowledge.
