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 hours, remote work, and potential for contract extensions.
- Other info: Engage in a dynamic environment with opportunities for growth and innovation.
- Why this job: Make an impact in AI by collaborating with top researchers and engineers.
- Qualifications: 3+ years in software engineering with strong skills in Python and systems programming.
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.
Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organisations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programmes such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, 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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. 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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).
- Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
- Build agents that can verify the quality of systems-level and infrastructure 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 systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go.
- Experience building and deploying scalable, production-grade 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 Senior Backend Engineer (Python/FastAPI) in Bolton employer: Turing
Turing is an exceptional employer for those seeking to make a significant impact in the AI landscape. With a flexible remote work culture, employees enjoy the freedom to innovate while collaborating with top-tier researchers and engineers. The company prioritises professional growth, offering opportunities to work on cutting-edge projects that shape the future of AI, all from the comfort of their own homes in the United States.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Backend Engineer (Python/FastAPI) in Bolton
✨Tip Number 1
Get your networking game on! Reach out to folks in the AI and software engineering space, especially those who've worked at companies like OpenAI or NVIDIA. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for that AI video interview! Brush up on your coding skills and be ready to showcase your expertise in Python, C/C++, or Rust. Practising common interview questions and coding challenges will help you feel more confident when it’s showtime.
✨Tip Number 3
Don’t just apply anywhere; focus on roles that match your skills and interests. Use our website to find positions that excite you, like the Senior Backend Engineer role. Tailor your approach to highlight how your experience aligns with their needs.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in making a lasting impression. It shows you're genuinely interested and keeps you on their radar as they make their decision.
We think you need these skills to ace Remote Senior Backend Engineer (Python/FastAPI) in Bolton
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight your experience with Python and backend development. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Off Your Communication Skills:Since excellent communication is key for this role, ensure your written application is clear and structured. We love a good narrative, so tell us about your journey in software engineering and how you’ve tackled challenges.
Highlight Relevant Experience:If you've worked on AI or systems-level programming, make it pop in your application! We’re looking for engineers who can demonstrate their expertise, so share specific examples of your work that relate to the job description.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and keep everything organised. Plus, it makes it easier for you to track your application status.
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, and any other languages mentioned in the job description. Brush up on your systems programming and infrastructure knowledge, as you'll likely be asked to demonstrate your expertise in these areas during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've tackled complex coding challenges in the past. Think about situations where you had to refine AI-generated code or improve system performance, and be ready to explain your thought process clearly.
✨Communicate Clearly
Since excellent communication skills are a must for this role, practice articulating your ideas and solutions in a structured manner. You might be asked to explain your rationale behind certain coding decisions, so clarity is key!
✨Familiarise Yourself with AI Concepts
Given that Turing focuses on AI-driven solutions, it’s beneficial to brush up on relevant AI concepts and how they apply to software engineering. Be prepared to discuss how you can contribute to AI model training and evaluation, as this will likely come up in your interview.
