At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Flexible hours, remote work, and opportunities for performance-based extensions.
- Other info: Engage in a dynamic environment with potential for career growth and innovation.
- Why this job: Make an impact in AI by collaborating with top researchers and enhancing coding solutions.
- Qualifications: 3+ years of software engineering experience and expertise in full-stack applications.
The predicted salary is between 50000 - 70000 £ 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.
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 in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluating and refining AI-generated code for efficiency, scalability, and reliability.
- Working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
- Building agents that can verify the quality of the code and identify error patterns.
- Hypothesising on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluating model capabilities on them.
- Designing verification mechanisms that can automatically verify a solution to a software engineering task.
Requirements:
- 3+ years of software engineering experience.
- Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools.
- Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
Commitment: Flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required).
Type: Contractor (no medical/paid leave, potential extensions based on performance and fit).
Note: As part of assessments, you will go through an AI video interview.
Software Engineer I (Remote) in Bolton employer: Turing
Turing is an exceptional employer for Software Engineers, offering a dynamic remote work environment that fosters innovation and collaboration with leading AI researchers. Employees benefit from flexible engagement hours, opportunities to work on cutting-edge projects in AI, and the chance to contribute to transformative solutions that have a measurable impact on global enterprises. With a strong emphasis on professional growth and a culture that values creativity and technical excellence, Turing stands out as a rewarding place for those looking to advance their careers in software engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer I (Remote) in Bolton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and don’t be shy about asking for informational interviews. The more connections we make, the better our chances of landing that dream job!
✨Tip Number 2
Prepare for those AI video interviews! Practice common questions and showcase your coding skills. We can even set up mock interviews to help you feel more confident and ready to impress.
✨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 us apart from the competition. Make sure it highlights your best coding examples and problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Software Engineer I (Remote) in Bolton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Software Engineer I role. Highlight your experience with Python, JavaScript, and other relevant languages. We want to see how your skills align with what we do at Turing!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and software engineering, and explain why you’re excited about working with us. Keep it concise but impactful!
Showcase Your Projects:Include links to any projects or code samples that demonstrate your expertise. We love seeing real-world applications of your skills, so don’t hold back on sharing your best work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to review your application and get you into the process. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in the languages and tools mentioned in the job description, like Python, JavaScript, and C++. Brush up on your full-stack application skills and be ready to discuss your experience with scalable software solutions.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you approach coding challenges. Think of examples where you've had to debug or optimise code, and be ready to explain your thought process clearly. This will show your analytical skills and ability to work through complex problems.
✨Familiarise Yourself with AI Concepts
Since the role involves working with AI-driven coding solutions, it’s a good idea to brush up on relevant AI concepts. Understand how AI models are trained and evaluated, and be prepared to discuss how you can contribute to enhancing these systems.
✨Practice for the AI Video Interview
As part of the assessment, you'll go through an AI video interview. Practice answering common interview questions on camera to get comfortable. Focus on clear communication and showcasing your technical expertise, as this will be key to making a great impression.
