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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.
- Other info: Engage in a dynamic environment with potential for career growth.
- Why this job: Make an impact in AI by collaborating with top researchers and enhancing coding solutions.
- Qualifications: 3+ years of software engineering experience and expertise in full-stack applications.
The predicted salary is between 50000 - 70000 £ 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:
- 3+ years of software engineering experience.
- 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) with potential extensions based on performance and fit.
Note: As part of assessments, you will go through an AI video interview.
Software Engineer I (Remote) employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer I (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work at Turing or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨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 out loud during your mock interviews.
✨Tip Number 3
Showcase your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. Make sure to highlight any full-stack applications you've built and the technologies you've used.
✨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 genuinely interested in joining the team at Turing.
We think you need these skills to ace Software Engineer I (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineer I role. Highlight your experience with Python, JavaScript, and other relevant languages. We want to see how your skills align with what we do at Turing!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and software engineering, and explain why you’re excited about working with us. Keep it concise but impactful!
Showcase Your Projects: Include links to your GitHub or any projects you've worked on that demonstrate your coding skills. We love seeing real examples of your work, especially if they relate to AI or full-stack applications.
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 to do!
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 C++. 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 the interview.
✨Understand the AI Landscape
Since Turing focuses on AI systems, it’s crucial to have a grasp of current trends in AI and machine learning. Familiarise yourself with how AI can be applied in software engineering and be prepared to discuss how you can contribute to their projects.
✨Practice for the AI Video Interview
As part of the assessment, you'll face an AI video interview. Practice answering common technical questions on camera, ensuring you articulate your thoughts clearly and confidently. This will help you feel more at ease during the actual interview.