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- Tasks: Create cutting-edge datasets and collaborate on AI model training with top researchers.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Flexible hours, competitive pay, and the chance to work remotely.
- Why this job: Make a real impact in AI while working with innovative technologies.
- Qualifications: 5+ years of software engineering experience and strong coding skills.
- Other info: Dynamic role with potential for extension based on performance.
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.
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.
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.
- 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.
Required Skills:
- 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.
- 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 Engineer (UK) in Banbury employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Software Engineer (UK) in Banbury
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews! Brush up on your coding skills and be ready to showcase your problem-solving abilities. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 3
Don’t forget to follow up! After an interview, shoot a quick thank-you email to express your appreciation. It shows you’re genuinely interested and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly can sometimes give you a better chance at landing that dream role.
We think you need these skills to ace Remote Software Engineer (UK) in Banbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Software Engineer. Highlight your experience with the required languages like Python, JavaScript, and others. We want to see how your skills match 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 software engineering. Share specific examples of your past work that relate to the job description. We love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity!
Apply Through Our Website: Don't forget to apply through our website! It’s the easiest way for us to keep track of your application. Plus, it shows you’re serious about joining our team at StudySmarter!
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, and ReactJS. Brush up on your coding skills and be ready to discuss your past projects that utilised these technologies.
✨Showcase Problem-Solving Skills
Prepare to demonstrate your ability to evaluate and refine code. Think of examples where you’ve improved efficiency or scalability in previous roles. Be ready to walk through your thought process during the interview.
✨Communicate Clearly
Since excellent communication is key, practice explaining complex technical concepts in a simple way. This will help you articulate your evaluation rationales clearly during the interview.
✨Familiarise with AI Concepts
Given the focus on AI-driven solutions, brush up on relevant AI concepts and how they apply to software engineering. Being able to discuss how you can contribute to AI model training initiatives will set you apart.