At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Earn $300/hr with flexible hours and potential for extension.
- Other info: Remote work opportunity with a dynamic team and growth potential.
- Why this job: Make a real impact in AI while working with top-tier engineers.
- Qualifications: 3+ years of software engineering experience, strong Python skills required.
The predicted salary is between 60000 - 120000 £ 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.
Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
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 — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more)
- Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
- Experience building full-stack applications and deploying scalable 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
- Type: Contractor (no medical/paid leave)
- Duration: 1 month (potential extensions based on performance and fit)
- Location: Candidates must be based in the United States
The application process takes 15–30 minutes. Completion of an AI video interview is required. 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.
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Remote Software Engineer ($300/hr.) in Leeds employer: Turing
Turing is an exceptional employer that fosters a dynamic and innovative work culture, perfect for remote Software Engineers looking to make a significant impact in the AI field. With competitive compensation of $300/hr and flexible engagement options, Turing provides ample opportunities for professional growth while collaborating with top-tier researchers and engineers. The company's commitment to advancing frontier AI research ensures that employees are at the forefront of technology, making it a rewarding place to develop your skills and contribute to groundbreaking projects.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Software Engineer ($300/hr.) in Leeds
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, especially those who've worked at companies like Stripe or Airbnb. A friendly chat can lead to insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and AI. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for that AI video interview! Brush up on your communication skills and be ready to explain your thought process clearly. Practice makes perfect, so do a few mock interviews with friends.
✨Tip Number 4
Don't forget to apply through our website! It’s quick and easy, and we love seeing applications come directly from passionate candidates like you. Plus, it keeps everything organised on our end!
We think you need these skills to ace Remote Software Engineer ($300/hr.) in Leeds
Some tips for your application 🫡
Show Off Your Skills:When you're filling out your application, make sure to highlight your experience with Python and any other languages mentioned in the job description. We want to see how you've used these skills in real-world projects, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific experiences that align with the responsibilities listed, like curating code examples or working on AI model training. This helps us see why you’re a great fit!
Be Clear and Concise:We appreciate clear communication, so keep your application straightforward. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
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 only takes 15-30 minutes to complete, so why not?
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the other languages mentioned in the job description. Brush up on frameworks, tooling, and best practices for building production-grade software. Being able to discuss your experience with these technologies confidently will show that you're a strong fit.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex coding challenges or improved existing systems. Think about how you can articulate your thought process during these situations, as this will demonstrate your logical reasoning and software engineering expertise.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining technical concepts in a clear and structured manner. You might even want to do a mock interview with a friend to refine your delivery and ensure you can convey your ideas effectively.
✨Familiarise Yourself with AI Concepts
Given the focus on AI-driven solutions, it’s beneficial to brush up on relevant AI concepts and how they apply to software engineering. Be ready to discuss how you can contribute to AI model training initiatives and enhance coding solutions using AI.
