At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading research accelerator in frontier AI systems.
- Benefits: Flexible hours, remote work, and potential for contract extensions.
- Other info: Engage in a dynamic environment with opportunities for growth and innovation.
- Why this job: Make a real impact in AI while working with top-tier technology and teams.
- Qualifications: 3+ years of software engineering experience with strong Python and JavaScript skills.
The predicted salary is between 60000 - 80000 £ 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 worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organisations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programmes such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside 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 across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code across backend and frontend contexts 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 across full-stack applications.
- 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 building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases.
- Experience 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.
- 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.
Evaluation Process: 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 Senior Software Engineer in Bury employer: Turing
Turing is an exceptional employer for Senior Software Engineers, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI. With flexible engagement options and opportunities to work on cutting-edge projects alongside top-tier researchers, employees can expect significant professional growth and the chance to make a meaningful impact in the tech industry. Based in San Francisco, Turing provides a vibrant environment that encourages creativity and excellence, making it an attractive choice for those looking to advance their careers in software engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Software Engineer in Bury
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Nail that video interview! Practice common questions and showcase your skills. Remember, it’s not just about what you say, but how you present yourself. We want to see your passion for AI and coding!
✨Tip Number 3
Show off your projects! Whether it’s on GitHub or your personal website, having a portfolio of your work can really set you apart. It’s a great way to demonstrate your expertise in Python and JavaScript.
✨Tip Number 4
Apply through our website! It’s the quickest way to get noticed by our team. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote Senior Software Engineer in Bury
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with full-stack development, especially in Python and JavaScript. We want to see how you've tackled challenges in your previous roles, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that align with the job description. This shows us you’re genuinely interested and have done your homework!
Be Clear and Concise:We appreciate clear communication, so keep your application structured and to the point. Use bullet points if it helps convey your experience better. Remember, we want to understand your journey without wading through fluff!
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 makes the whole process smoother for everyone involved.
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and JavaScript (React, Node.js). Brush up on your knowledge of C/C++, Java, Rust, and Go too. Being able to discuss your experience with these languages confidently will show that you're a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex software engineering challenges. Think about how you’ve approached prototyping, architecture design, or debugging in past projects. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Communicate Clearly
Since excellent communication skills are a must, practice articulating your thoughts clearly and concisely. Whether it’s explaining your code or discussing your evaluation rationales, being able to convey your ideas 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 the software engineering cycle to engage meaningfully during the interview.
