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, competitive pay, and the chance to work on impactful projects.
- Other info: Remote role with potential for extension based on performance.
- Why this job: Make a real difference in AI development while working with top-tier engineers.
- 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.
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 Senior Backend Engineer (Python/FastAPI) in Ashton-under-Lyne 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 engagement options and opportunities for professional growth, employees are encouraged to collaborate with top-tier researchers and contribute to cutting-edge projects that shape the future of AI technology. Located in the vibrant tech hub of San Francisco, Turing offers a unique environment where creativity and expertise thrive, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Backend Engineer (Python/FastAPI) in Ashton-under-Lyne
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews! Brush up on your coding skills and be ready to discuss your past projects. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 3
Show off your work! Create a portfolio showcasing your best projects. This is your chance to demonstrate your skills and creativity, so make sure it’s easy to navigate and highlights your strengths.
✨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 Ashton-under-Lyne
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application for the Senior Backend Engineer role. Highlight your experience with Python and FastAPI, and don’t forget to mention any relevant projects that showcase your skills in building scalable applications.
Show Off Your Communication Skills:Since clear communication is key, ensure your written application reflects your ability to articulate complex ideas simply. Use structured language and be concise, as this will demonstrate your capability to evaluate and provide feedback effectively.
Highlight Relevant Experience:When detailing your background, focus on your experience in fast-paced environments like those mentioned in the job description. Share specific examples of high-impact products you've shipped and how they relate to AI-driven solutions.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. This way, you can ensure your application reaches us quickly and you’ll receive updates about your application status directly.
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 knowledge of full-stack development and be ready to discuss your past projects where you’ve used these technologies.
✨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 scalability, and be ready to explain your thought process during those situations.
✨Communicate Clearly
Since excellent communication is key for this role, practice articulating your ideas clearly and concisely. Be prepared to explain technical concepts in a way that’s easy to understand, as you’ll need to collaborate with cross-functional teams.
✨Familiarise Yourself with AI Concepts
Given the focus on AI-driven solutions, it’s beneficial to brush up on AI principles and how they relate to software engineering. Be ready to discuss how you can contribute to AI model training and evaluation, showcasing your understanding of the field.
