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 50000 - 70000 £ 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 Engineer I (Remote) in London employer: Turing
Turing is an exceptional employer for Software Engineers, offering a dynamic remote work environment that fosters innovation and collaboration with leading AI researchers. Employees benefit from flexible engagement hours, opportunities to work on cutting-edge projects in AI, and a culture that prioritises professional growth and the development of advanced technical skills. With a commitment to excellence and a focus on impactful results, Turing provides a unique platform for engineers to thrive in the rapidly evolving field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer I (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 practice explaining your thought process clearly. We want to see how you tackle problems, so think out loud and show us your approach.
✨Tip Number 3
Showcase your projects! Whether it’s on GitHub or your personal website, make sure we can see your work. Highlight any full-stack applications or innovative solutions you've built, especially those using Python, JavaScript, or other languages mentioned in the job description.
✨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 engage directly with us.
We think you need these skills to ace Software Engineer I (Remote) in London
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your software engineering experience and the languages you're proficient in. We want to see how you can contribute to our cutting-edge projects, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Software Engineer I role. Mention specific projects or experiences that align with what we do at Turing, especially around AI and coding solutions. It shows us you’re genuinely interested!
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 your qualifications and fit for the role.
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, 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 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 approach coding challenges. Think of examples where you've had to debug or optimise code, and be ready to explain your thought process clearly. This will show your analytical skills and ability to work through complex problems.
✨Familiarise Yourself with AI Concepts
Since the role involves working with AI-driven coding solutions, it’s a good idea to understand basic AI principles and how they apply to software engineering. Be prepared to discuss how you can contribute to enhancing AI models and what you know about their training processes.
✨Practice for the AI Video Interview
As part of the assessment, you'll face an AI video interview. Practice answering common interview questions in front of a camera. Focus on clear communication and confidence, as this format may differ from traditional interviews.
