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: Dynamic role with opportunities for growth and collaboration across teams.
- Why this job: Make an impact in AI while working with top-tier engineers and innovative projects.
- Qualifications: 3+ years in software engineering with expertise in Python and JavaScript.
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.
Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, 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.
Remote working/work at home options are available for this role.
Remote Senior Backend Engineer (Python/FastAPI) in Ramsbottom employer: Turing
Turing is an exceptional employer that fosters a dynamic and innovative work culture, perfect for Senior Backend Engineers looking to make a significant impact in the AI field. With flexible remote working options and a commitment to employee growth, Turing provides opportunities to collaborate with top-tier researchers and engineers while contributing to cutting-edge projects that shape the future of AI technology. Join us in San Francisco, where your expertise will be valued, and your contributions will drive meaningful advancements in AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Backend Engineer (Python/FastAPI) in Ramsbottom
✨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 that AI video interview! Practice common questions and showcase your skills in Python and JavaScript. We want to see your personality shine through, so be yourself!
✨Tip Number 3
Show off your projects! Whether it’s on GitHub or your personal website, having a portfolio of your work can really set you apart. It’s all about demonstrating your expertise in full-stack applications.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Remote Senior Backend Engineer (Python/FastAPI) in Ramsbottom
Some tips for your application 🫡
Be Yourself:When you're filling out your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to show your passion for coding and AI.
Tailor Your CV:Make sure your CV highlights your experience with Python and JavaScript, especially in full-stack development. We love seeing how your past projects align with what we do at StudySmarter!
Showcase Your Impact:In your application, focus on the high-impact products you've shipped. We’re looking for engineers who have made a difference in fast-paced environments, so share those success stories!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in Python and JavaScript, especially with frameworks like FastAPI and React. Brush up on your full-stack application knowledge, as you'll need to demonstrate your ability to work across both backend and frontend codebases.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex coding challenges. Think about how you’ve evaluated and refined code for efficiency and scalability in past projects, as this will be crucial for the role.
✨Communicate Clearly
Since excellent communication skills are a must, practice articulating your thought process clearly. Be ready to explain your evaluation rationales and how you approach software architecture and design decisions.
✨Familiarise Yourself with AI Concepts
Given the focus on AI-driven solutions, brush up on your understanding of AI models and their training processes. Be prepared to discuss how you can contribute to curating datasets and enhancing AI-generated code.
