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 across teams.
- Why this job: Make a real impact in AI while working with top-notch technologies.
- 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 ) 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, providing access to advanced training and resources. The flexibility of engagement allows for a balanced work-life dynamic, making it an attractive choice for those seeking meaningful and impactful employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Fully Remote Software Engineer )
✨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 the inside scoop on job openings!
✨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 Fully Remote Software Engineer )
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineer role. Highlight your expertise in Python, JavaScript, and other relevant languages, and don’t forget to mention any experience with AI or full-stack applications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and software engineering. Share specific examples of your work that demonstrate your problem-solving skills and ability to collaborate with teams.
Showcase Your Projects:If you’ve worked on any interesting projects, especially those involving AI or large language models, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we can’t wait to see what you bring to the table!
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 under pressure.
✨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 face an AI video interview. Practice answering common interview questions in front of a camera. Focus on clear communication and confidence, as this will help you stand out in the evaluation process.
