At a Glance
- Tasks: Create cutting-edge datasets and collaborate on AI-driven coding solutions.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Flexible remote work with competitive pay and potential for extensions.
- Other info: Dynamic role with opportunities for growth and collaboration across teams.
- Why this job: Make a real impact in AI while working with top-notch technologies.
- 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.
Fully Remote Software Engineer ) 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 Fully Remote Software Engineer ) 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 examples of what you can do, so make sure to highlight your best stuff!
✨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 engineering.
We think you need these skills to ace Fully Remote Software Engineer ) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Software Engineer. Highlight your experience with the specific programming languages and technologies mentioned in the job description, like Python, JavaScript, and ReactJS. We want to see how your skills align with what we're looking for!
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. Share specific examples of your past work that relate to the responsibilities outlined in the job description. Let us know why you’re the perfect fit for our team!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills. It gives us a better idea of what you can bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re serious about joining our team!
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 or improve code efficiency. Be ready to explain your thought process and the steps you took to arrive at a solution.
✨Familiarise Yourself with AI Concepts
Since this role involves working with AI-driven solutions, it’s crucial to understand basic AI principles and how they apply to software engineering. Brush up on topics like model training and evaluation, as well as how to curate datasets effectively.
✨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 come across as confident and articulate.
