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- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading research accelerator in frontier AI based in San Francisco.
- Benefits: Flexible remote work, competitive pay, and the chance to work with top-tier AI researchers.
- Other info: Flexible hours, contractor role, and an exciting environment for career growth.
- Why this job: Make a real impact in AI by collaborating on innovative projects and advancing technology.
- Qualifications: 3+ years of software engineering experience, strong Python skills, and full-stack application knowledge.
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.
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 top computer science programmes such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, 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 — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
- Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.
- 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.
Several years of software engineering experience (3 years or more).
Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
Experience building full-stack applications and deploying scalable 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.
Type: Contractor (no medical/paid leave).
Completion of an AI video interview is required.
Note: As part of assessments you will go through an AI video interview.
Senior Software Development Engineer (Flexible/Remote working) in Oxford employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Development Engineer (Flexible/Remote working) in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who have experience with AI or software engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and full-stack applications. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for that AI video interview! Brush up on common technical questions and practice coding challenges. We recommend simulating the interview environment to get comfortable with the format and boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace Senior Software Development Engineer (Flexible/Remote working) in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with Python and any relevant projects you've worked on. 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 work that demonstrate your expertise and problem-solving skills.
Showcase Your Projects: If you've got a portfolio or GitHub, make sure to include it! We love seeing real-world applications of your skills. Highlight any projects that involved building scalable software or working with AI models.
Prepare for the AI Video Interview: Don't forget about the AI video interview! Brush up on your coding skills and be ready to discuss your thought process. We want to see how you approach problems and your ability to communicate effectively.
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the other languages mentioned, like JavaScript, C/C++, and Rust. Brush up on frameworks and best practices, as you might be asked to discuss your experience with them during the interview.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built production systems. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the AI Landscape
Since Turing focuses on AI, it’s crucial to have a grasp of current trends and technologies in AI and machine learning. Be ready to discuss how your work can contribute to advancing AI systems and what you think about the future of AI.
✨Practice for the AI Video Interview
As part of the process, you'll need to complete an AI video interview. Familiarise yourself with common questions and practice speaking clearly and confidently. This is your chance to showcase not just your technical skills but also your communication abilities.