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For Companies 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 based on performance.
- Why this job: Make a real impact in AI development while working with innovative technologies.
- Qualifications: 5+ years of software engineering experience and strong coding skills in multiple languages.
- Other info: Dynamic role with opportunities for growth and collaboration in a global team.
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 Bradford employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Software Engineer (UK) in Bradford
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at companies you're interested in. A friendly chat can lead to referrals or insider info that could give you the edge.
✨Tip Number 2
Prepare for those interviews! Brush up on your coding skills and be ready to showcase your problem-solving abilities. Practising common coding challenges can help you feel more confident when it’s time 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 your enthusiasm 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 speed up the process and get you noticed quicker.
We think you need these skills to ace Remote Software Engineer (UK) in Bradford
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 mentioned in the job description. 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 software engineering. Share specific examples of your past work that relate to the responsibilities outlined in the job description. Let us know why you’re the perfect fit!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing practical applications of your skills. Include links if possible, so we can check them out!
Apply Through Our Website: Don't forget to apply through our website! It’s the easiest way for us to receive your application and keep track of it. Plus, it shows you're serious about joining our team. We can't wait to see what you bring to the table!
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, as this will resonate well with the evaluators.
✨Communicate Clearly
Since excellent communication is key for this role, practice explaining your thought process clearly and concisely. Be ready to articulate your evaluation rationales during the interview, especially when discussing code quality and design.
✨Familiarise Yourself 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 from other candidates.
