At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible remote work, competitive pay, and potential for contract extensions.
- Other info: Dynamic role with opportunities for growth and collaboration in a fast-paced environment.
- Why this job: Make an impact in AI while working with top-tier engineers and researchers.
- Qualifications: 3+ years of software engineering experience, strong Python skills, and excellent communication.
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 in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, 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.
Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs 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. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like? 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. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. 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.
Required Skills: 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. Excellent oral and written communication skills for clear, structured evaluation rationales.
Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Duration: 1 month (potential extensions based on performance and fit). Location: Candidates must be based in the United States.
Evaluation Process: The application process takes 15–30 minutes. Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
Remote working/work at home options are available for this role.
Remote Senior Software Engineer in Ramsbottom employer: Turing
Turing is an exceptional employer that fosters a dynamic and innovative work culture, perfect for Senior Software Engineers looking to make a significant impact in the AI field. With flexible remote working options, employees benefit from a collaborative environment that encourages professional growth and the opportunity to work alongside top-tier talent in cutting-edge projects. The company prioritises employee development and offers unique advantages such as engaging with frontier AI research, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Software Engineer in Ramsbottom
✨Tip Number 1
Get your tech skills sharp! Brush up on Python and any other languages mentioned in the job description. Practice coding challenges and work on personal projects to showcase your expertise.
✨Tip Number 2
Network like a pro! Connect with current employees at Turing or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 3
Prepare for that AI video interview! Familiarise yourself with common technical questions and practice explaining your thought process clearly. Remember, communication is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on your email for that login link to complete your profile after applying.
We think you need these skills to ace Remote Senior Software Engineer in Ramsbottom
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with Python and any relevant projects that showcase your skills in software engineering. We want to see how you fit into our world of AI-driven solutions!
Show Off Your Communication Skills:Since clear communication is key, ensure your written application reflects your ability to articulate complex ideas simply. Use structured language and be concise. We love a well-organised application that tells us exactly why you're the right fit!
Highlight Relevant Experience:If you've worked on production systems or have experience with full-stack applications, make it known! We’re looking for engineers who can hit the ground running, so don’t hold back on showcasing your past achievements.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it makes the whole process smoother for both you and us!
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 for building production-grade software, as you’ll likely be asked to discuss your experience with these during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your ability to evaluate and refine code. Think of examples where you've improved efficiency or scalability in past projects. Be ready to explain your thought process clearly, as communication is key in this role.
✨Familiarise Yourself with AI Concepts
Since the role involves working with AI models, it’s a good idea to brush up on relevant concepts. Understand how large language models work and be prepared to discuss how you would approach curating datasets or evaluating AI-generated code.
✨Practice Your Video Interview Skills
As part of the application process, you’ll need to complete an AI video interview. Make sure you’re comfortable speaking on camera. Practice answering common interview questions and ensure your environment is quiet and distraction-free for the actual interview.
