At a Glance
- Tasks: Create cutting-edge datasets and collaborate on AI-driven coding solutions.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Flexible remote work with competitive pay and potential for extensions.
- Other info: Dynamic role with opportunities for growth and collaboration with top researchers.
- Why this job: Make an impact in AI by refining code and enhancing software solutions.
- Qualifications: 3+ years of software engineering experience and expertise in modern programming languages.
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.
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.
Fully Remote Software Engineer ) in Bolton employer: Turing
Turing is an exceptional employer for Software Engineers, offering the unique opportunity to work remotely while contributing to cutting-edge AI research and development. With a strong focus on employee growth, Turing fosters a collaborative work culture that encourages innovation and creativity, allowing you to refine your skills and advance your career in a dynamic environment. The flexibility of engagement and the chance to work with top-tier researchers make Turing a rewarding place to build a meaningful career in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Fully Remote Software Engineer ) 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
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, JavaScript, or any other languages mentioned in the job description. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for that AI video interview! Brush up on common software engineering questions and practice coding challenges. We know it can be nerve-wracking, but being well-prepared will help you shine during the assessment.
✨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 engage directly with us.
We think you need these skills to ace Fully Remote Software Engineer ) in Bolton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with the specific programming languages and technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and software engineering. Share specific examples of your past work that relate to the responsibilities outlined in the job description.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve building scalable software or working with AI models.
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 languages and tools mentioned in the job description, like Python, JavaScript, and Rust. 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 under pressure.
✨Familiarise Yourself with AI Concepts
Since the role involves working with AI-driven coding solutions, it’s a good idea to understand the basics of AI and machine learning. Be prepared to discuss how you can contribute to enhancing AI models and what you know about evaluating AI-generated code.
✨Practice for the AI Video Interview
As part of the assessment, you'll have an AI video interview. Familiarise yourself with common video interview questions and practice speaking clearly and confidently. Make sure your tech setup is solid to avoid any hiccups during the actual interview.
