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.
- Why this job: Make an impact in AI while working with top-tier engineers and researchers.
- 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; 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.
Remote working/work at home options are available for this role.
Remote Senior Python Engineer in Ramsbottom employer: Turing
Turing is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior Python Engineers to thrive. With flexible remote working options and a commitment to employee growth, Turing provides opportunities to work on cutting-edge AI projects alongside top-tier researchers, ensuring that your contributions have a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Python Engineer 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! Brush up on your Python and JavaScript skills, and be ready to showcase your problem-solving abilities. Practice makes perfect, so run through some coding challenges beforehand.
✨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 a great way to demonstrate your skills and experience without just talking about them.
✨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 Python Engineer in Ramsbottom
Some tips for your application 🫡
Read the Job Description Carefully:Before you dive into your application, take a moment to really absorb the job description. It’s packed with info about what we’re looking for, and tailoring your application to match our needs can make a huge difference!
Show Off Your Skills:When you’re writing your application, don’t hold back! Highlight your experience with Python and JavaScript, and any other languages you’ve worked with. We want to see how your skills align with what we do at Turing.
Be Clear and Concise:We appreciate clarity! Make sure your application is well-structured and easy to read. Use bullet points if it helps, and keep your explanations straightforward. We want to understand your experience without wading through fluff.
Apply Through Our Website:Make sure to submit your application through our website. It’s the best way to ensure it gets to us directly. Plus, you’ll get all the updates about your application status right there!
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 areas.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your ability to evaluate and refine code. Think of specific examples where you improved efficiency or scalability in a project. This will show that you can not only write code but also enhance it for better performance.
✨Communicate Clearly
Since excellent communication skills are a must, practice articulating your thought process. Whether it's during coding challenges or discussing past projects, being clear and structured in your explanations will set you apart.
✨Familiarise Yourself with AI Concepts
Given the focus on AI-driven solutions, brush up on relevant concepts and be prepared to discuss how you’ve applied them in your work. Understanding the software engineering cycle and how it relates to AI will give you an edge in the interview.
