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 with top researchers.
- Why this job: Make an impact in AI by refining code and enhancing software 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.
Fully Remote Software Engineer ) in Bury 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, allowing you to refine your skills and advance your career in a dynamic environment. Additionally, the flexibility of engagement hours ensures a healthy work-life balance, making it an attractive choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Fully Remote Software Engineer ) in Bury
✨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 introductions. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those AI video interviews! Brush up on your coding skills and practice explaining your thought process clearly. We recommend doing mock interviews with friends or using platforms that simulate the experience to get comfortable in front of the camera.
✨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 your coding prowess, 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 ready to dive into exciting projects with us.
We think you need these skills to ace Fully Remote Software Engineer ) in Bury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with the specific programming languages and technologies mentioned in the job description. 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.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any other portfolio where we can see your code in action. This gives us a better idea of your coding style and problem-solving skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from 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 Rust. 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 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. Practice answering common interview questions in front of a camera. Focus on clear communication and confidence, as this will help you stand out in a tech-focused environment.
