At a Glance
- 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, competitive pay, and the chance to work on innovative AI projects.
- Other info: Opportunity for performance-based extensions and a dynamic work environment.
- Why this job: Make a real impact in AI development while collaborating with top researchers.
- Qualifications: 3+ years of software engineering experience and expertise in modern programming languages.
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; and second, 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; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
- Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
- Build agents that can verify the quality of the code and identify error patterns.
- 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.
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) potential extensions based on performance and fit).
Note: As part of assessments you will go through an AI video interview.
Softwareentwickler / Developer (w/m/d) employer: Turing
Turing is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the cutting-edge field of AI. With a focus on employee growth, Turing provides opportunities to work alongside top researchers and engage in meaningful projects that have a real impact on the industry. Located in the vibrant tech hub of San Francisco, employees benefit from a stimulating environment that encourages creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Softwareentwickler / Developer (w/m/d)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AI or software development. A personal recommendation can make all the difference when you're applying for roles at companies like Turing.
✨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 demonstrate your expertise in Python, JavaScript, and other languages.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, having a portfolio of your work can really impress potential employers. Make sure to highlight any full-stack applications you've built and any innovative solutions you've created.
✨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 our team at Turing and contributing to cutting-edge AI research.
We think you need these skills to ace Softwareentwickler / Developer (w/m/d)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Softwareentwickler. Highlight your experience with the specific programming languages mentioned, like Python and JavaScript, and showcase any relevant projects that demonstrate your skills.
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. Mention how your background aligns with Turing's mission and how you can contribute to their innovative projects.
Showcase Your Projects:Include links to your GitHub or any other portfolio where we can see your work. We love seeing real examples of your coding skills, 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 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 tools mentioned in the job description, like Python, JavaScript, and ReactJS. 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 interview questions on camera, focusing on clarity and confidence. This will help you feel more comfortable and present yourself better during the actual interview.
