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 frontier AI systems.
- Benefits: Flexible remote work with competitive pay and potential for extension.
- Other info: Dynamic role with opportunities for growth in the AI field.
- Why this job: Make a real impact in AI by collaborating with top researchers and engineers.
- Qualifications: 3+ years of software engineering experience 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 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. 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.
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. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
- 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.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
- 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.
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 (AWS) - Fully Remote 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 strong emphasis on employee growth, Turing provides opportunities to work on cutting-edge projects that have a real impact on the future of AI, all while enjoying a flexible engagement model that suits your lifestyle. Join a dynamic team where your expertise in full-stack development will be valued and where you can contribute to transformative AI solutions from anywhere in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (AWS) - Fully Remote
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Brush up on your coding skills and be ready to discuss your past projects. Practising common interview questions can really help you stand out.
✨Tip Number 3
Show off your work! Create a portfolio showcasing your projects, especially those that highlight your skills in Python and JavaScript. This gives potential employers a taste of what you can do.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Senior Software Engineer (AWS) - Fully Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Software Engineer. Highlight your experience with Python and JavaScript, and any work you've done in AI or full-stack development. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for Turing. Keep it concise but engaging – we love a good story!
Showcase Relevant Projects:Include links to any relevant projects or code samples in your application. Whether it's on GitHub or your personal website, we want to see your work in action. This helps us understand your coding style and problem-solving skills.
Prepare for the AI Video Interview:Don't forget about the AI video interview! Practice answering common technical questions and be ready to discuss your past experiences. This is your moment to show us your personality and passion for software engineering!
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 fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex software engineering challenges. Think about how you’ve approached prototyping, architecture design, or debugging in past projects. This will demonstrate your ability to think critically and apply your skills effectively.
✨Familiarise Yourself with AI Concepts
Since this role involves working closely with AI systems, it’s crucial to have a solid understanding of AI principles and how they relate to software engineering. Brush up on topics like model training, benchmarking, and code evaluation to impress your interviewers with your knowledge.
✨Practice Your Communication Skills
As you'll be collaborating with cross-functional teams, effective communication is key. Practice explaining your thought process clearly and concisely. You might even want to do mock interviews with friends or colleagues to get comfortable articulating your ideas.
