At a Glance
- Tasks: Create cutting-edge datasets and collaborate on AI model training with top researchers.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible hours, remote work, and potential for contract extensions.
- Other info: Engage in a dynamic environment with opportunities for growth and learning.
- Why this job: Make an impact in AI development while working with innovative technologies.
- Qualifications: 3+ years in software engineering 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.
What Does a Typical Day Look Like?
- 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.
- Evaluating and refining AI-generated code to ensure that it is efficient, scalable, and reliable.
- Collaborating with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
- 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.
Required Skills:
- 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.
- Excellent oral and written communication skills for clear, structured evaluation rationales.
Engagement Details:
- Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required).
- Type: Contractor (no medical/paid leave).
- Duration: 1 month (starting next week; potential extensions based on performance and fit).
- Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …).
Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
Remote Software Developer in Shrewsbury employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Software Developer in Shrewsbury
✨Tip Number 1
Get your tech skills sharp! Brush up on Python, JavaScript, and other languages mentioned in the job description. We want to see you confidently tackle coding challenges during interviews.
✨Tip Number 2
Network like a pro! Connect with current employees or alumni from Turing on LinkedIn. A friendly chat can give you insider tips and maybe even a referral, which we all know can make a difference!
✨Tip Number 3
Prepare for that AI video interview! Practice answering common questions and showcasing your problem-solving skills. We recommend recording yourself to see how you come across—confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team at Turing. Let’s get you started on this exciting journey!
We think you need these skills to ace Remote Software Developer in Shrewsbury
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Software Developer role. Highlight your experience with the specific programming languages mentioned in the job description, like Python and JavaScript, to show us you’re a perfect fit!
Showcase Your Projects: Include links to any relevant projects or code samples in your application. We love seeing real examples of your work, especially if they demonstrate your skills in building scalable applications or working with AI-driven solutions.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use structured language to explain your experience and skills, as we appreciate well-organised information that’s easy to digest.
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, you’ll get all the latest updates directly from us!
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 coding skills and be ready to discuss your experience with full-stack applications and scalable software.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you approach software engineering challenges. Think of examples where you've had to debug or improve code efficiency. Be ready to explain your thought process clearly, as communication is key for this role.
✨Familiarise Yourself with AI Concepts
Since the role involves working with AI-driven solutions, it’s a good idea to understand basic AI principles and how they apply to software development. This will help you engage more effectively during discussions about model training and evaluation.
✨Practice for the AI Video Interview
Don’t forget that you’ll have an AI video interview as part of the assessment. Familiarise yourself with common video interview questions and practice speaking clearly and confidently. Ensure your tech setup is reliable to avoid any hiccups during the interview.