Find a job 
Featured Companies 
Featured Universities 
For Companies 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 opportunities for performance-based extensions.
- Why this job: Make an impact in AI development while working with top-tier tech professionals.
- Qualifications: 5+ years of software engineering experience and expertise in full-stack applications.
- Other info: Collaborative environment with potential for career growth and innovation.
The predicted salary is between 36000 - 60000 £ 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.
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 in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluating and refining AI-generated code for efficiency, scalability, and reliability.
- Working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
- Building agents that can verify the quality of the code and identify error patterns.
- Hypothesising on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluating model capabilities on them.
- Designing verification mechanisms that can automatically verify a solution to a software engineering task.
Requirements:
- Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research).
- Strong expertise in building full-stack applications and 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 (partial PST overlap required). Type: Contractor (no medical/paid leave, potential extensions based on performance and fit).
Note: As part of assessments, you will go through an AI video interview.
Software Engineer - Full Stack Development (Remote) employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Full Stack Development (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at companies you're interested in. A friendly chat can lead to referrals and insider info that could give you the edge.
✨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 coding challenges and think about how you can explain your thought process clearly.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, make sure potential employers can see your work. Highlight full-stack applications you've built and any innovative solutions you've created.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Turing.
We think you need these skills to ace Software Engineer - Full Stack Development (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your full-stack development experience and any relevant projects you've worked on, especially those involving Python, JavaScript, or other languages mentioned.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and software engineering. Share specific examples of how you've contributed to projects in the past and how you can bring that expertise to our team.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex coding challenges. We love seeing how you approach problems and what solutions you've implemented, especially in collaborative settings.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in the languages and frameworks mentioned in the job description, like Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Brush up on your full-stack development skills and be ready to discuss your experience with these technologies in detail.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your ability to evaluate and refine AI-generated code. Think of examples where you've improved code efficiency or scalability in past projects. Be ready to walk through your thought process during the interview.
✨Understand the Software Engineering Cycle
Familiarise yourself with the software engineering cycle, including prototyping, architecture design, and production implementation. Be prepared to discuss how you’ve applied these concepts in your previous roles and how they relate to the responsibilities of the position.
✨Prepare for the AI Video Interview
Since there’s an AI video interview as part of the assessment, practice answering common technical questions on camera. Focus on clear communication and showcasing your expertise. This is your chance to make a strong first impression, so don’t skip this step!