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: Collaborative environment with opportunities for professional growth.
- Why this job: Make an impact in AI while working with top-tier engineers and researchers.
- 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 Altrincham 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 a rewarding career in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Python Engineer in Altrincham
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those who work at companies like Google or Amazon. A friendly chat can lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and JavaScript. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for that AI video interview! Brush up on your communication skills and be ready to explain your thought process clearly. Practice makes perfect, so maybe do a mock interview with a friend.
✨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 the initiative to connect directly with us.
We think you need these skills to ace Remote Senior Python Engineer in Altrincham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with Python and JavaScript, especially in full-stack applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about working with AI and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Communication Skills:Since excellent communication is key for this role, make sure your written application reflects clarity and structure. We appreciate well-organised thoughts that convey your ideas effectively, so take your time to polish your writing.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s quick and easy, and you’ll get all the info you need about the role and our company. Plus, we love seeing applications come in through our own channels!
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 your experience with full-stack applications and how you've tackled challenges in these languages.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've evaluated and refined code for efficiency and scalability. Think about times when you collaborated with cross-functional teams to enhance coding solutions and be ready to explain your thought process.
✨Communicate Clearly
Since excellent communication skills are a must, practice articulating your ideas clearly and concisely. You might be asked to provide structured evaluation rationales, so consider how you can present your thoughts logically during the interview.
✨Familiarise Yourself with AI Concepts
Given the focus on AI-driven coding solutions, brush up on relevant AI concepts and how they apply to software engineering. Be prepared to discuss how you would approach tasks like model training and verification mechanisms in your role.
