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- Tasks: Create cutting-edge datasets and collaborate on AI model training with top researchers.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Flexible hours, remote work, and potential for contract extensions based on performance.
- Why this job: Make a real impact in AI while working with innovative technologies and talented teams.
- Qualifications: 5+ years of software engineering experience and strong coding skills in multiple languages.
- Other info: Engage in a dynamic environment with opportunities for growth and learning.
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.
Remote Software Engineer (UK) in Milton Keynes employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Software Engineer (UK) in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work at companies you're eyeing. A friendly chat can lead to insider info and maybe even a referral!
✨Tip Number 2
Nail that interview prep! Brush up on your coding skills and be ready to showcase your problem-solving abilities. Practice common coding challenges and be prepared to discuss your past projects in detail.
✨Tip Number 3
Show off your passion for AI and software engineering! During interviews, share your thoughts on the latest trends and how you can contribute to cutting-edge projects. Let your enthusiasm shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Remote Software Engineer (UK) in Milton Keynes
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 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 Turing's mission and how you can contribute to their innovative projects.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your written application reflects clarity and structure. Use concise language and ensure your ideas flow logically to demonstrate your ability to communicate effectively.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you'll have access to all the resources you need to complete your profile after applying.
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've tackled complex coding challenges in the past. Think of specific examples where you improved code efficiency or reliability, and be ready to explain your thought process during the interview.
✨Communicate Clearly
Since excellent communication is key for this role, practice articulating your ideas clearly and concisely. Be prepared to explain your evaluation rationales and how you collaborate with cross-functional teams.
✨Familiarise Yourself with AI Concepts
Given the focus on AI-driven solutions, brush up on relevant AI concepts and how they apply to software engineering. Be ready to discuss how you can contribute to enhancing AI models and what you understand about their training processes.