At a Glance
- Tasks: Create cutting-edge datasets and collaborate on AI-driven coding solutions.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible remote work, competitive pay, and opportunities for performance-based extensions.
- Other info: Engage in a dynamic environment with potential for career growth.
- Why this job: Make an impact in AI by refining code and enhancing software engineering processes.
- 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 Engineer (remote working) in London employer: Turing
Turing is an exceptional employer for Software Engineers, offering the unique opportunity to work remotely while contributing to cutting-edge AI research and development. With a strong focus on employee growth, Turing fosters a collaborative work culture that encourages innovation and creativity, providing access to advanced training and resources. The flexibility of engagement allows for a balanced work-life dynamic, making it an attractive choice for those seeking meaningful and impactful employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (remote working) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work at Turing or similar companies. A friendly chat can open doors and give you insider info on the hiring process.
✨Tip Number 2
Prepare for that AI video interview! Brush up on your coding skills and be ready to showcase your problem-solving abilities. Practise common coding challenges and think about how you can demonstrate your expertise in Python, JavaScript, and other languages.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, make sure to highlight your best work. This is your chance to demonstrate your full-stack capabilities and the impact of your previous projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Turing.
We think you need these skills to ace Software Engineer (remote working) 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 your skills align with what we do at Turing, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Software Engineer role. Mention specific projects or experiences that relate to AI model training or full-stack development. This shows us you’re genuinely interested in the position.
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 our 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, it’s super easy!
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 under pressure.
✨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 AI model training and evaluation.
✨Practice for the AI Video Interview
As part of the assessment, you'll go through an AI video interview. Familiarise yourself with common video interview questions and practice speaking clearly and confidently. This will help you feel more at ease during the actual interview.
