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 role with opportunities for career growth and collaboration.
- Why this job: Make an impact in AI while working with top-tier engineers and researchers.
- Qualifications: 3+ years of software engineering experience, strong Python skills, and excellent communication.
The predicted salary is between 60000 - 78000 £ 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.
Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
Remote Software Engineer ($300/hr.) in Bolton employer: Turing
Turing is an exceptional employer for software engineers, offering the unique opportunity to work at the forefront of AI research and development in a dynamic and innovative environment. With a strong emphasis on collaboration and cutting-edge technology, employees benefit from flexible engagement options, competitive compensation, and the chance to contribute to impactful projects that shape the future of AI. The company's culture fosters continuous learning and growth, making it an ideal place for talented individuals looking to advance their careers while working remotely from anywhere in the United States.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Software Engineer ($300/hr.) in Bolton
✨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
Prepare for that AI video interview! Brush up on your Python skills and be ready to showcase your problem-solving abilities. Practising common coding challenges can really help you stand out.
✨Tip Number 3
Show off your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can make a huge difference. It gives us a glimpse into your coding style and expertise.
✨Tip Number 4
Apply through our website! It’s quick and easy, and you’ll get all the latest updates on your application status. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Remote Software Engineer ($300/hr.) in Bolton
Some tips for your application 🫡
Show Off Your Skills:When you're writing 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 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 shows us you’re genuinely interested and a great fit!
Keep It Clear and Concise:We appreciate clarity! Make sure your application is well-structured and easy to read. Use bullet points if needed, and avoid jargon unless it’s relevant. This helps us quickly understand your qualifications and experience.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the process there, making it super straightforward.
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 impress the interviewers.
✨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 and the impact of your solutions. This is your chance to demonstrate your analytical skills and creativity!
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining technical concepts in a clear and structured manner. You might be asked to evaluate code or provide feedback, so being able to articulate your rationale effectively will set you apart from other candidates.
✨Familiarise Yourself with AI Concepts
Given the focus on AI-driven solutions, it’s beneficial to have a solid understanding of AI principles and how they apply to software engineering. Brush up on topics like model training, benchmarking, and verification mechanisms to show that you’re not just a coder but also a thinker in the AI space.
