At a Glance
- Tasks: Create cutting-edge datasets for AI training and collaborate with researchers on innovative projects.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Flexible hours, competitive pay, and the chance to work on impactful AI solutions.
- Other info: Opportunity for growth and potential contract extensions based on performance.
- Why this job: Make a real difference in AI development while working with top-tier technology.
- Qualifications: 3+ years of software engineering experience, strong skills in Python and JavaScript.
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.
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 – AI Training (US-based) in Ashton-under-Lyne employer: Turing
Turing is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about advancing AI technology. With flexible engagement options and opportunities to collaborate with top-tier researchers, employees can expect meaningful contributions to cutting-edge projects while enjoying the benefits of remote work from anywhere in the US. Turing prioritises employee growth through continuous learning and exposure to high-scale engineering challenges, making it an ideal environment for ambitious engineers looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior JavaScript/React Engineer – AI Training (US-based) 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 AI video interview! Prepare by practising common questions and showcasing your skills. Remember, it’s all about demonstrating your expertise in JavaScript and React.
✨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 from the crowd.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. 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 – AI Training (US-based) in Ashton-under-Lyne
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with JavaScript, React, and any relevant AI projects. We want to see how your skills align with what we do at Turing!
Showcase Your Projects:Include links to your GitHub or any live projects you've worked on. This gives us a chance to see your coding style and problem-solving skills in action. We love seeing real examples of your work!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and structure your thoughts well. We appreciate good communication skills, so make sure your written application reflects that!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into the evaluation process smoothly. We can’t wait to hear from you!
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 in these areas.
✨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 and technical prowess.
✨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.
