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- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible hours, remote work, and the chance to work with top-tier AI technologies.
- Other info: Engage in a dynamic environment with opportunities for growth and innovation.
- Why this job: Make a real impact in AI by collaborating with top researchers and engineers.
- 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 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 built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organisations. 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 — 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 Development Engineer (Remote) in Oxford employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior / Software Development Engineer (Remote) in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those AI video interviews! Practice common questions and showcase your coding skills. We recommend recording yourself to see how you come across – it’s a game changer!
✨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!
✨Tip Number 4
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 engineers like you!
We think you need these skills to ace Senior / Software Development Engineer (Remote) in Oxford
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 role. Mention your experience with AI, software architecture, and any relevant projects that align with what we do at Turing.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for your achievements and experiences to make it easy for us to read. We appreciate straightforward communication, so avoid jargon unless it's necessary!
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 Python and the other languages mentioned, like JavaScript, C/C++, and Rust. Brush up on frameworks and best practices, as you might be asked to discuss your experience with them during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you've tackled complex software engineering challenges in the past. Think of specific examples where you’ve built scalable solutions or improved code quality, as these will highlight your expertise.
✨Familiarise Yourself with AI Concepts
Since the role involves working with AI models, it’s a good idea to understand the basics of machine learning and how it relates to software development. Be ready to discuss how you can contribute to AI model training and evaluation.
✨Practice for the AI Video Interview
As part of the application process, you’ll need to complete an AI video interview. Familiarise yourself with common interview questions and practice speaking clearly and confidently, as this format may differ from traditional interviews.