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- Tasks: Evaluate and rank AI-generated code responses for software engineering tasks.
- Company: Join Turing, a leading AI company revolutionising software development.
- Benefits: Enjoy flexible remote work and the chance to influence cutting-edge AI projects.
- Why this job: Shape the future of AI while collaborating with top researchers in a dynamic environment.
- Qualifications: 7+ years in software engineering with strong coding and evaluation skills required.
- Other info: Part-time contractor role with potential for extension based on performance.
The predicted salary is between 36000 - 60000 £ per year.
About Us
Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI.
Project Overview
We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. A key focus of this project is curating verifiable software engineering challenges from public GitHub repository histories using a human-in-the-loop process.
Why This Role Is Unique
- Collaborate directly with AI researchers shaping the future of AI-powered software development.
- Work with high-impact open-source projects and evaluate how LLMs perform on real bugs, issues, and developer tasks.
- Influence dataset design that will train and benchmark next-gen LLMs.
What does day-to-day look like:
- Review and compare 3–4 model-generated code responses for each task using a structured ranking system.
- Evaluate code diffs for correctness, code quality, style, and efficiency.
- Provide clear, detailed rationales explaining the reasoning behind each ranking decision.
- Maintain high consistency and objectivity across evaluations.
- Collaborate with the team to identify edge cases and ambiguities in model behavior.
Required Skills
- 7+ years of professional software engineering experience, ideally at top-tier product companies.
- Strong fundamentals in software design, coding best practices, and debugging.
- Excellent ability to assess code quality, correctness, and maintainability.
- Proficient with code review processes and reading diffs in real-world repositories.
- Exceptional written communication skills to articulate evaluation rationale clearly.
- Prior experience with LLM-generated code or evaluation work is a plus.
Bonus Points
- Experience in LLM research, developer agents, or AI evaluation projects.
- Background in building or scaling developer tools or automation systems.
Engagement Details
- Commitment: ~20 hours/week (partial PST overlap required)
- Type: Contractor (no medical/paid leave)
- Duration: 1 month (starting next week; potential extensions based on performance and fit)
Remote Senior Software Engineer (LLM) - 34953 employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Software Engineer (LLM) - 34953
✨Tip Number 1
Familiarise yourself with the latest trends in AI and LLMs. Understanding how these technologies are evolving will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage with open-source projects on GitHub that focus on AI or software engineering. This hands-on experience will give you practical insights and examples to discuss during your conversations with us.
✨Tip Number 3
Prepare to discuss your previous experiences with code reviews and how you've assessed code quality. Be ready to provide specific examples that highlight your expertise in evaluating software.
✨Tip Number 4
Network with professionals in the AI and software engineering communities. Attend relevant webinars or meetups to connect with others in the field, which could lead to valuable insights and recommendations for your application.
We think you need these skills to ace Remote Senior Software Engineer (LLM) - 34953
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 7+ years of software engineering experience, especially if you've worked at top-tier product companies. Emphasise your skills in software design, coding best practices, and debugging.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for AI-assisted software development and how your background aligns with Turing's mission. Mention any relevant experience with LLMs or evaluation work to stand out.
Showcase Communication Skills: Since exceptional written communication is crucial for this role, ensure that your application materials are clear and articulate. Provide examples of how you've effectively communicated complex ideas in previous roles.
Highlight Relevant Projects: If you have experience with open-source projects or have evaluated code quality, make sure to include these in your application. Discuss specific challenges you've faced and how you contributed to the success of those projects.
How to prepare for a job interview at Turing
✨Showcase Your Experience
With 7+ years of professional software engineering experience required, be ready to discuss your past roles in detail. Highlight specific projects where you’ve implemented coding best practices and debugging techniques, especially if they relate to AI or LLMs.
✨Demonstrate Code Evaluation Skills
Since the role involves evaluating model-generated code, prepare to discuss your approach to assessing code quality and correctness. Bring examples of how you've previously reviewed code, focusing on your structured ranking system and rationale behind your decisions.
✨Communicate Clearly
Exceptional written communication skills are a must for this position. Practice articulating your thoughts clearly and concisely, especially when explaining complex technical concepts. Consider preparing a few examples of how you’ve effectively communicated evaluation rationales in the past.
✨Familiarise Yourself with LLMs
If you have prior experience with LLM-generated code or evaluation work, make sure to highlight it. If not, take some time to understand the basics of LLMs and their applications in software development. This knowledge will help you engage more meaningfully during the interview.
