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: Collaborative environment with potential for career growth and exciting projects.
- Why this job: Make a real impact in AI development while working with innovative technologies.
- 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 Developer / Software Engineer Remote employer: Turing
Turing is an exceptional employer for Software Developers, offering a dynamic remote work environment that fosters innovation and collaboration in the cutting-edge field of AI. With a strong commitment to employee growth, Turing provides opportunities to work alongside top researchers and engage in meaningful projects that have a real impact on the industry. The flexible engagement model allows for a healthy work-life balance, making it an attractive choice for those looking to advance their careers while contributing to transformative AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Software Developer / Software Engineer Remote
✨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. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that align with AI and software engineering. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for that AI video interview! Brush up on common technical questions and practice coding challenges. We want you to feel confident and ready to impress!
✨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 Developer / Software Engineer Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your software engineering experience, especially with the languages mentioned like Python and JavaScript. We want to see how you can contribute to our cutting-edge projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the role. We love seeing enthusiasm and a clear understanding of what we do at Turing.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any portfolio showcasing your coding skills. We’re keen to see your hands-on experience and how you tackle real-world problems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. 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 development 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. 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 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.
