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- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Flexible hours, remote work, and opportunities for performance-based extensions.
- Why this job: Make an impact in AI by collaborating with top researchers and enhancing coding solutions.
- Qualifications: 5+ years of software engineering experience and expertise in modern programming languages.
- Other info: Engage in a dynamic 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 - AI (Remote) in Leigh employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - AI (Remote) in Leigh
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software engineering space. Let them know you're on the lookout for opportunities at Turing, and who knows, they might just have the inside scoop or even refer you!
✨Tip Number 2
Prepare for that AI video interview! Brush up on your coding skills and be ready to showcase your expertise in Python, JavaScript, and other languages mentioned in the job description. Practice common interview questions and coding challenges to boost your confidence.
✨Tip Number 3
Showcase your projects! If you've built any full-stack applications or worked on AI-driven solutions, make sure to highlight these in your discussions. We love seeing real-world examples of your work and how you’ve tackled challenges in software engineering.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining Turing and contributing to our mission in advancing AI research.
We think you need these skills to ace Software Engineer - AI (Remote) in Leigh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineer - AI role. Highlight your experience with Python, JavaScript, and other relevant languages. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool projects or have a portfolio, make sure to include that in your application. We’re keen to see your hands-on experience and how you’ve tackled challenges in software engineering.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in the languages and tools mentioned in the job description, like Python, JavaScript, and Rust. Brush up on your full-stack application skills and be ready to discuss your experience with scalable software solutions.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you've tackled complex coding challenges in the past. Think of specific examples where you improved code efficiency or reliability, and be ready to explain your thought process during those situations.
✨Understand AI and Its Applications
Since this role involves working with AI-driven coding solutions, it’s crucial to have a solid grasp of AI concepts. Familiarise yourself with how AI can enhance software engineering processes and be prepared to discuss any relevant projects you've worked on.
✨Practice for the AI Video Interview
As part of the assessment, you'll face an AI video interview. Get comfortable with the format by practising common interview questions and recording yourself. This will help you refine your answers and ensure you come across as confident and articulate.