At a Glance
- Tasks: Create cutting-edge datasets and collaborate with researchers on AI model training.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Flexible hours, 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 enterprise-level solutions.
- Qualifications: 3+ years in software engineering with expertise in full-stack applications.
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.
Softwareentwickler / Developer (w/m/d) in London employer: Turing
Turing is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of San Francisco. With a commitment to employee growth, Turing provides opportunities to work on cutting-edge AI projects alongside top researchers, ensuring that your contributions have a meaningful impact on the future of technology. Enjoy the flexibility of contractor engagement while being part of a forward-thinking team dedicated to transforming AI into proprietary intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Softwareentwickler / Developer (w/m/d) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects and contributions. This is your chance to shine and demonstrate what you can bring to the table, especially in software engineering.
✨Tip Number 3
Prepare for those interviews! Brush up on your coding skills and be ready to tackle technical questions. Practising with mock interviews can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented developers like you. Plus, it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Softwareentwickler / Developer (w/m/d) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Softwareentwickler. Highlight your experience with the specific programming languages mentioned in the job description, like Python and JavaScript, and showcase any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and software engineering. Mention how your skills align with our mission at Turing and how you can contribute to our cutting-edge projects.
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 if they relate to AI or full-stack development.
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 both of us!
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 ReactJS. Brush up on your coding skills and be ready to discuss your experience with full-stack applications and scalable software.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you approach software engineering challenges. Think of examples where you've had to debug code or improve efficiency. Be ready to walk through your thought process during the interview.
✨Understand AI and Its Applications
Since this role involves working with AI-driven solutions, it’s crucial to have a solid grasp of how AI can be applied in software development. Familiarise yourself with concepts like model training and evaluation, and be prepared to discuss how you can contribute to these areas.
✨Practice for the AI Video Interview
As part of the assessment, you'll face an AI video interview. Get comfortable with the format by practising common interview questions and recording yourself. This will help you refine your answers and ensure you present yourself confidently.
