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 a real impact in AI 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; 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 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.
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Remote Senior Python Engineer in Leigh 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. The company's commitment to flexibility and a supportive culture makes it an attractive choice for those looking to advance their careers in a fast-paced, high-growth setting.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Python Engineer in Leigh
✨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
Nail that video interview! Practice common questions and showcase your skills confidently. Remember, it’s not just about what you say, but how you present 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 from the crowd.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Remote Senior Python Engineer in Leigh
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Python Engineer role. Highlight your experience with Python and JavaScript, and any relevant projects that showcase your skills in full-stack development.
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made in previous roles. Use metrics and specific examples to demonstrate how your contributions have led to successful outcomes in fast-paced environments.
Be Clear and Concise:In your written application, clarity is key! Use straightforward language and structure your thoughts logically. This will help us quickly understand your qualifications and fit for the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
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, as they might come up during the interview. Being able to discuss your experience with these languages confidently will show that you're a strong candidate.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex coding challenges. Think about how you approached the problem, the solutions you implemented, and the impact it had. This will demonstrate your ability to think critically and work effectively in a fast-paced environment.
✨Communicate Clearly
Since excellent communication skills are a must for this role, practice articulating your thoughts clearly and concisely. Whether it's explaining your code or discussing project outcomes, being able to convey your ideas effectively will set you apart from other candidates.
✨Familiarise Yourself with AI Concepts
Given the focus on AI-driven solutions, brush up on your understanding of AI models and their applications in software engineering. Be ready to discuss how you can contribute to AI model training and evaluation, as this will show your alignment with the company's goals.
