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 by collaborating with top researchers and engineers.
- Qualifications: 3+ years in software engineering with expertise in Python, C/C++, Rust, or Go.
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 worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organisations pushing the boundaries of intelligent systems. 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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. 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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).
- Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
- Build agents that can verify the quality of systems-level and infrastructure 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 (3 years or more).
- Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go.
- Experience building 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.
- 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.
Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
Remote Senior Backend Engineer (Python/FastAPI) in Leigh employer: Turing
Turing is an exceptional employer for those seeking to push the boundaries of AI technology while enjoying a flexible remote work environment. With a strong focus on employee growth, Turing offers opportunities to collaborate with top-tier researchers and contribute to cutting-edge projects that have a real impact on the industry. The company fosters a culture of innovation and excellence, making it an ideal place for talented engineers to thrive and advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Backend Engineer (Python/FastAPI) in Leigh
✨Tip Number 1
Get your networking game on! Reach out to folks in the AI and software engineering space. Use platforms like LinkedIn to connect with people at companies like Turing, and don’t be shy about asking for informational chats. You never know who might have a lead on a job or can put in a good word for you!
✨Tip Number 2
Prepare for that AI video interview! Brush up on your coding skills and be ready to showcase your expertise in Python, C/C++, Rust, and Go. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you think, not just what you know!
✨Tip Number 3
Show off your projects! If you've worked on any relevant software engineering projects, make sure to highlight them during interviews. Whether it's a personal project or something from a previous job, demonstrating your hands-on experience can really set you apart from the crowd.
✨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. So, get your application in and let’s get the ball rolling on your next big opportunity!
We think you need these skills to ace Remote Senior Backend Engineer (Python/FastAPI) in Leigh
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with Python, FastAPI, and any relevant projects that showcase your skills in backend development. We want to see how you fit into our world!
Show Off Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of projects where you've used systems programming or built scalable software. This is your chance to shine, so let us know what you can do!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use structured language and avoid jargon unless necessary. We appreciate straightforward communication, especially when it comes to technical details.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to track your application and get back to you quickly. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in Python, C/C++, Rust, and Go. Brush up on your systems programming and backend development skills, as you'll likely be asked to demonstrate your expertise in these areas during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex coding challenges. Be ready to explain your thought process and how you approached problem-solving, especially in performance-critical applications.
✨Communicate Clearly
Since excellent communication is key for this role, practice articulating your ideas clearly and concisely. You might be asked to explain technical concepts or code evaluations, so being able to convey your thoughts effectively will set you apart.
✨Familiarise Yourself with AI Concepts
Given the focus on AI-driven solutions, brush up on your knowledge of AI models and their training processes. Understanding how to evaluate and refine AI-generated code will be crucial, so make sure you can discuss relevant methodologies confidently.
