At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Flexible hours, remote work, and opportunities for performance-based extensions.
- Other info: Dynamic role with potential for career growth and innovative projects.
- Why this job: Make an impact in AI by collaborating with top researchers and enhancing coding solutions.
- Qualifications: 3+ years of software engineering experience and expertise in modern programming languages.
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.
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 in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluating and refining AI-generated code for efficiency, scalability, and reliability.
- Working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
- Building agents that can verify the quality of the code and identify error patterns.
- Hypothesising on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluating model capabilities on them.
- Designing verification mechanisms that can automatically verify a solution to a software engineering task.
Requirements:
- 3+ years of software engineering experience.
- Strong expertise in building full-stack applications and 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 (partial PST overlap required).
Type: Contractor (no medical/paid leave, potential extensions based on performance and fit).
Note: As part of assessments, you will go through an AI video interview.
Software Development Engineer - Remote in London employer: Turing
Turing is an exceptional employer for Software Development Engineers, offering a dynamic remote work environment that fosters innovation and collaboration with top AI researchers. Employees benefit from flexible engagement hours, opportunities to work on cutting-edge AI projects, and the chance to contribute to transformative technology that drives measurable impact. With a strong focus on employee growth and a culture that values expertise and creativity, Turing provides a rewarding platform for those looking to advance their careers in software engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Software Development Engineer - Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those AI video interviews! Brush up on your coding skills and be ready to showcase your problem-solving abilities. We recommend practising common coding challenges and explaining your thought process clearly.
✨Tip Number 3
Showcase 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-world applications of your skills, so make sure to highlight your best projects.
✨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 individuals who are passionate about AI and software development.
We think you need these skills to ace Software Development Engineer - Remote in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Software Development Engineer. Highlight your experience with Python, JavaScript, and other relevant languages, and showcase any projects that demonstrate your skills in building scalable applications.
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 aligns with our mission at Turing. Be specific about your experiences and how they relate to the job description.
Showcase Your Projects:Include links to your GitHub or any other portfolio where we can see your work. We love seeing real examples of your coding skills and problem-solving abilities, especially in the context of AI-driven solutions.
Apply Through Our Website:Don’t forget 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 makes the whole process smoother for everyone involved.
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in the languages and tools mentioned in the job description, like Python, JavaScript, and C++. Brush up on your full-stack application skills and be ready to discuss your experience with scalable software solutions.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you've tackled complex coding challenges in the past. Think of specific examples where you improved code efficiency or reliability, and be ready to explain your thought process during the interview.
✨Familiarise Yourself with AI Concepts
Since this role involves working with AI-driven coding solutions, it’s a good idea to understand the basics of AI and machine learning. Be prepared to discuss how you can contribute to enhancing AI models and what you know about evaluating AI-generated code.
✨Practice for the AI Video Interview
As part of the assessment, you'll have an AI video interview. Familiarise yourself with common video interview questions and practice speaking clearly and confidently. Make sure your tech setup is solid to avoid any hiccups during the actual interview.
