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: Ideal for tech-savvy graduates from top CS programs or those with exceptional experience.
- 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 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 engage in high-impact projects within the AI sector, all while enjoying the flexibility of remote work from anywhere. The company values diverse backgrounds and experiences, ensuring that every team member can contribute meaningfully to the advancement of AI research and development.
StudySmarter Expert Advice🤫
We think this is how you could land Python Senior Developer - Remoto
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who have experience with AI or software engineering. A friendly chat can lead to referrals or insider info about job openings.
✨Tip Number 2
Prepare for that AI video interview! Brush up on your coding skills and be ready to showcase your problem-solving abilities. Practise common interview questions and maybe even record yourself to see how you come across.
✨Tip Number 3
Show off your projects! If you've built any full-stack applications or worked on interesting AI projects, make sure to highlight them during interviews. Having tangible examples of your work can really set you apart.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance of being noticed by our hiring team. Don't miss out on the opportunity!
We think you need these skills to ace Python Senior Developer - Remoto
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 team!
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 your past work that align with what we do at Turing. Let us know why you're the perfect fit!
Showcase Your Projects:If you've got a portfolio or GitHub with projects, make sure to include that in your application. We love seeing real-world applications of your skills, especially if they involve full-stack development or AI-related work. It gives us a taste of what you can do!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. This way, we can easily track your application and get back to you quicker. Plus, it shows you're keen on joining our team!
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 Projects
Prepare to talk about specific projects where you've built full-stack applications. Highlight your role in the software engineering cycle, from prototyping to deployment. This not only demonstrates your technical skills but also your ability to work in fast-paced environments like those at Stripe or Airbnb.
✨Understand AI and ML Workflows
Since this role involves working with AI models, it’s crucial to understand how to curate datasets and evaluate AI-generated code. Familiarise yourself with the latest trends in AI and be ready to discuss how you can contribute to model training initiatives.
✨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 problem-solving skills. Remember, it’s not just about what you say, but how you present yourself!
