At a Glance
- 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.
- Other info: Engage in a dynamic environment with opportunities for growth and innovation.
- Why this job: Make an impact in AI while working with top-tier technologies and teams.
- Qualifications: 3+ years of software engineering experience, strong Python and JavaScript skills.
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.
Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organisations. We especially welcome graduates from leading programmes such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code across backend and frontend contexts 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 across full-stack applications.
- 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 (3 years or more).
- Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases.
- Experience 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.
- Type: Contractor (no medical/paid leave).
- Duration: 1 month (potential extensions based on performance and fit).
- Location: Candidates must be based in the United States.
Evaluation Process: The application process takes 15–30 minutes. Completion of an AI video interview is required. 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 Senior Python Engineer in Leeds employer: Turing
Turing is an exceptional employer for Senior Python Engineers, offering a dynamic remote work environment that fosters innovation and collaboration. With a strong focus on employee growth, Turing provides opportunities to work on cutting-edge AI projects alongside top-tier researchers, ensuring that your contributions have a meaningful impact on the future of technology. The company's commitment to flexibility and a supportive culture makes it an attractive choice for those seeking rewarding and impactful work in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Python Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Brush up on your coding skills and be ready to showcase your problem-solving abilities. Practising common interview questions can really help you stand out.
✨Tip Number 3
Don’t forget to tailor your approach! Research the company and its projects, and be ready to discuss how your skills align with their needs. This shows you’re genuinely interested.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote Senior Python Engineer in Leeds
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with Python and JavaScript. We want to see how you've built full-stack applications and any cool projects you've worked on that showcase your coding prowess.
Be Clear and Concise:We love a good story, but keep it relevant! Use clear and structured language to explain your past experiences and how they relate to the role. This helps us understand your thought process and communication skills.
Tailor Your Application:Don’t just send a generic application! Take a moment to tailor your responses to our job description. Mention specific technologies and methodologies you’ve used that align with what we’re looking for at Turing.
Apply Through Our Website:Make sure to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us, so we can review it quickly!
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in Python and JavaScript, especially React and Node.js. Brush up on your knowledge of C/C++, Java, Rust, and Go too. Be ready to discuss how you've used these technologies in past projects, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in software engineering and how you tackled them. Think about examples where you improved code efficiency or scalability, as this aligns perfectly with what Turing is looking for.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex technical concepts in simple terms. This will help you articulate your thought process during the interview and demonstrate your ability to collaborate with cross-functional teams.
✨Familiarise Yourself with AI Concepts
Given that Turing focuses on AI-driven solutions, it’s beneficial to understand the basics of AI and machine learning. Be prepared to discuss how you can contribute to AI model training and evaluation, as this will set you apart from other candidates.
