At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code across full-stack applications.
- Company: Join Turing, a leading research accelerator for frontier AI labs based in San Francisco.
- Benefits: Flexible hours, remote work, and the chance to work with top AI researchers.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact in AI by collaborating on innovative projects and advancing technology.
- Qualifications: 3+ years of software engineering experience with 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 in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents.
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.
- 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.
- 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.
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.
Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview.
Python Senior Developer - Remoto in Leigh employer: Turing
Turing is an exceptional employer for Python Senior Developers, offering a dynamic and innovative work culture that thrives on collaboration and cutting-edge technology. With a focus on employee growth, Turing provides opportunities to work alongside top AI researchers and contribute to impactful projects in a flexible remote environment, making it an ideal place for those seeking meaningful and rewarding employment in the fast-evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Python Senior Developer - Remoto in Leigh
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who've worked at companies like Stripe or Airbnb. A friendly chat can lead to insider info about job openings and even referrals.
✨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 your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for that AI video interview! Brush up on common questions and practice coding challenges. We want you to feel confident and ready to shine when it’s your turn in front of the camera.
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Python Senior Developer - Remoto in Leigh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python and JavaScript, and any relevant projects you've worked on. We want to see how you can contribute to our cutting-edge datasets!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and software engineering. Share specific examples of high-impact products you've shipped and how they relate to the role. We love seeing your personality come through!
Showcase Your Projects:If you've got a portfolio or GitHub with projects, make sure to include that link in your application. We want to see your coding skills in action! Highlight any full-stack applications you've built, especially those using Python and JavaScript.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our team of talented engineers. Don’t forget to double-check everything before hitting submit!
How to prepare for a job interview at Turing
✨Know Your Tech Stack Inside Out
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 software engineering challenges. Think about how you approached prototyping, architecture design, or debugging. This will demonstrate your ability to think critically and apply your skills effectively in real-world scenarios.
✨Familiarise Yourself with AI Concepts
Since the role involves working with AI models, it’s crucial to understand the basics of machine learning and how datasets are created and used. Be ready to discuss any relevant projects you’ve worked on that involved AI or data curation, as this will highlight your fit for the position.
✨Prepare for the AI Video Interview
This is a unique part of the process, so practice answering common interview questions on camera. Focus on clear communication and showcasing your technical expertise. You might want to record yourself to see how you come across and make adjustments as needed.
