At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code using Python and other languages.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible hours, remote work, and the chance to work with top-tier AI researchers.
- Other info: Engage in a dynamic environment with opportunities for growth and collaboration.
- Why this job: Make a real impact in AI by building innovative solutions and refining code quality.
- Qualifications: 3+ years of software engineering experience, strong Python skills, and full-stack application knowledge.
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 in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents.
This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, 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 — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
- Build agents and automated verification tools in Python that can verify the quality of 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.
Several years of software engineering experience (3 years or more).
Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
Experience building full-stack applications and deploying scalable 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.
Type: Contractor (no medical/paid leave).
Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview.
[Remote] Senior Software Engineer (Python) in Leigh employer: Turing
Turing is an exceptional employer for Senior Software Engineers, offering a dynamic remote work environment that fosters innovation and collaboration with top-tier AI researchers. With a commitment to employee growth, Turing provides opportunities to work on cutting-edge projects in AI, while promoting a culture of flexibility and excellence. Join us in San Francisco, where your expertise in Python and software engineering will contribute to groundbreaking advancements in AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land [Remote] Senior Software Engineer (Python) in Leigh
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those who work at companies like Google or Amazon. Use platforms like LinkedIn to reach out and engage with potential colleagues or mentors.
✨Tip Number 2
Prepare for that AI video interview! Brush up on your Python skills and be ready to showcase your problem-solving abilities. Practice coding challenges and think about how you can demonstrate your experience with full-stack applications.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, make sure you have examples of your work ready to share. This is your chance to highlight your expertise in Python and other languages like JavaScript or Rust.
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows you're serious about joining us and makes it easier for us to keep track of your progress.
We think you need these skills to ace [Remote] Senior Software Engineer (Python) in Leigh
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your expertise in Python throughout your application. We want to see your experience with frameworks and best practices, so don’t hold back on showcasing your projects or contributions!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific experiences that align with the job description, especially around building production systems and working with AI models. It helps us see how you fit into our team!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your skills and experiences without wading through fluff.
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Turing
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially the frameworks and best practices for building production-grade software. Be ready to discuss your past projects and how you've applied these skills in real-world scenarios.
✨Showcase Your Full-Stack Experience
Prepare to talk about your experience with full-stack applications. Highlight specific projects where you’ve deployed scalable software using modern languages and tools, and be ready to explain your architectural decisions.
✨Understand the Software Engineering Cycle
Familiarise yourself with the entire software engineering cycle, from prototyping to operational maintenance. Be prepared to hypothesise on steps and evaluate model capabilities, as this will likely come up during the interview.
✨Ace the AI Video Interview
Since an AI video interview is part of the process, practice answering questions clearly and concisely. Use a quiet space, maintain eye contact with the camera, and ensure your tech setup is reliable to avoid any hiccups.
