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, remote work, and potential for contract extensions based on performance.
- Other info: Engage in a dynamic environment with opportunities for growth and collaboration.
- Why this job: Make a real impact in AI by refining code and enhancing enterprise-level solutions.
- Qualifications: 3+ years of software engineering experience with 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; 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.
Remote working/work at home options are available for this role.
Remote Senior JavaScript/React Engineer – AI Training (US-based) in Ramsbottom 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 remote working options and a commitment to employee growth, Turing provides opportunities to collaborate with top-tier researchers and engineers, making a meaningful impact in the field of AI. The company's focus on high-quality data and cutting-edge solutions ensures that employees are at the forefront of technological advancements, driving both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior JavaScript/React Engineer – AI Training (US-based) in Ramsbottom
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or through tech meetups. A personal connection can often get your foot in the door faster than a standard application.
✨Tip Number 2
Prepare for that AI video interview! Brush up on your coding skills and be ready to showcase your problem-solving abilities. Practising common interview questions can really help you stand out.
✨Tip Number 3
Show off your projects! Whether it's on GitHub or your own portfolio, having tangible examples of your work can make a huge difference. It’s all about proving you can walk the walk, not just talk the talk.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining us. Plus, it makes tracking your application a breeze!
We think you need these skills to ace Remote Senior JavaScript/React Engineer – AI Training (US-based) in Ramsbottom
Some tips for your application 🫡
Read the Job Description Carefully:Before you dive into your application, take a moment to really absorb the job description. It’s packed with info about what we’re looking for, and understanding it will help you tailor your application to show us why you’re the perfect fit.
Show Off Your Skills:When you’re writing your application, don’t hold back! Highlight your experience with JavaScript, React, and any other relevant tech. We want to see how your skills align with what we need, so be specific about your past projects and achievements.
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 that might confuse us. The clearer you are, the better we can understand your qualifications.
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 necessary details there to help you complete your profile and prepare for the next steps.
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.
