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: Flexible hours, competitive pay, and the chance to work on innovative projects.
- Other info: Opportunity for contract extension based on performance and fit.
- Why this job: Make a real impact in AI development while working with top-tier engineers.
- Qualifications: 3+ years of software engineering experience and expertise in full-stack applications.
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 built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organisations. We especially welcome graduates from leading programmes 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 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 JavaScript/React Engineer in Ashton-under-Lyne employer: Turing
Turing is an exceptional employer that fosters a dynamic and innovative work culture, perfect for Senior JavaScript/React Engineers looking to make a significant impact in the AI field. With flexible engagement options and opportunities for professional growth, employees are encouraged to collaborate with top-tier researchers and contribute to cutting-edge projects that drive real-world results. Located in the vibrant tech hub of San Francisco, Turing offers a unique environment where creativity and expertise thrive, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior JavaScript/React Engineer in Ashton-under-Lyne
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at 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!
✨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. Let us see what you can do with JavaScript and React!
✨Tip Number 4
Apply through our website! It’s the quickest way to get noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote Senior JavaScript/React Engineer in Ashton-under-Lyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with JavaScript, React, and any relevant full-stack projects. We want to see how your skills align with the role, so don’t hold back on showcasing your best work!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit. We love seeing passion and personality, so let that come through!
Showcase Your Projects:If you’ve worked on any impressive projects, especially those involving AI or full-stack development, make sure to mention them. We’re keen to see real-world applications of your skills, so include links if possible!
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 and ensures you get all the updates. Plus, we love seeing candidates who follow instructions!
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in JavaScript, React, and Python, as these are crucial for the role. Brush up on your knowledge of full-stack applications and be ready to discuss your past projects that showcase your expertise.
✨Prepare for AI Video Interview
Since you'll be going through an AI video interview, practice answering common technical questions on camera. This will help you get comfortable with the format and ensure you present your skills clearly and confidently.
✨Showcase Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in software engineering. Think of specific examples where you improved code efficiency or solved complex problems, as this will demonstrate your critical thinking abilities.
✨Communicate Clearly
Excellent communication is key, especially when collaborating with cross-functional teams. Practice explaining your thought process and solutions in a structured manner, as this will help you stand out during the interview.
