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- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible hours, remote work, and potential for contract extensions.
- Why this job: Make an impact in AI development while working with top-tier technologies.
- Qualifications: 5+ years of software engineering experience and strong coding skills.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ 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; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like? Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task.
Required Skills: Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). 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. Excellent oral and written communication skills for clear, structured evaluation rationales.
Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required). Type: Contractor (no medical/paid leave). Duration: 1 month (starting next week; potential extensions based on performance and fit). Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …).
Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
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Remote Software Developer (UK) in England employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Software Developer (UK) in England
✨Tip Number 1
Get your tech skills sharp! Brush up on Python, JavaScript, and other languages mentioned in the job description. We want to see you confidently tackle coding challenges during interviews.
✨Tip Number 2
Network like a pro! Connect with current employees or alumni from Turing on LinkedIn. A friendly chat can give you insider tips and maybe even a referral, which we all know can make a difference!
✨Tip Number 3
Prepare for that AI video interview! Practice answering common questions and showcasing your problem-solving skills. We recommend recording yourself to see how you come across—confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team at Turing. Let’s get you in the door!
We think you need these skills to ace Remote Software Developer (UK) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Remote Software Developer. Highlight your experience with the required languages and tools, and don’t forget to showcase any relevant projects that demonstrate your skills.
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 development. Share specific examples of how your past experiences align with what we’re looking for at Turing.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Use clear and concise language, and structure your thoughts logically. This will help us see your ability to articulate complex ideas.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll get all the updates directly 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 frameworks mentioned in the job description, like Python, JavaScript, and ReactJS. Brush up on your coding skills and be ready to discuss your past projects that utilised these technologies.
✨Prepare for AI Video Interview
Since you'll be going through an AI video interview, practice answering common technical questions on camera. Focus on clear communication and structured responses, as this will help you stand out in the evaluation process.
✨Showcase Problem-Solving Skills
Be prepared to demonstrate your problem-solving abilities. Think of examples where you've had to debug or optimise code, and be ready to explain your thought process. This is crucial for a role that involves evaluating and refining AI-generated code.
✨Collaborate and Communicate
Highlight your experience working with cross-functional teams. Be ready to discuss how you’ve collaborated with others to enhance software solutions, as teamwork is key in this role. Good communication skills will be essential, so practice articulating your ideas clearly.