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 expertise in Python, C/C++, Rust, or Go.
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.
- Hypothesise 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 working/work at home options are available for this role.
Remote Senior Backend Engineer (Python/FastAPI) – AI Evaluation (US-based) in Ramsbottom employer: Turing
Turing is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about advancing AI technology. With flexible remote working options and a commitment to employee growth, Turing provides opportunities to collaborate with top-tier researchers and contribute to groundbreaking projects in the AI field. Join us in San Francisco, where you can make a meaningful impact while enjoying a supportive environment that values expertise and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Backend Engineer (Python/FastAPI) – AI Evaluation (US-based) in Ramsbottom
✨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
Show off your projects! If you've built any cool software or contributed to open-source projects, make sure to highlight them. This is your chance to demonstrate your skills and passion for backend development, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the quickest way to get your application seen. Plus, we love seeing candidates who take the initiative to apply directly. Don’t forget to tailor your application to highlight your experience with scalable, production-grade software.
We think you need these skills to ace Remote Senior Backend Engineer (Python/FastAPI) – AI Evaluation (US-based) in Ramsbottom
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your skills and experience align with the role. We want to see how you fit into our mission of advancing AI, so don’t hold back on showcasing your relevant projects!
Show Off Your Technical Skills:Since this role is all about backend development, be sure to include specific examples of your work with Python, C/C++, Rust, or Go. We love seeing real-world applications of your coding prowess, so share those juicy details!
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. We appreciate a well-organised application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it only takes 15-30 minutes, so why not get started today?
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 relevant languages like C/C++, Rust, or Go. Brush up on your systems programming knowledge and be ready to discuss how you've applied these skills in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your ability to evaluate and refine AI-generated code. Think of examples where you’ve improved code efficiency or scalability, and be ready to explain your thought process during the interview.
✨Communicate Clearly
Since excellent communication is key, practice articulating your ideas clearly and concisely. Be prepared to explain complex technical concepts in a way that’s easy to understand, as you’ll need to collaborate with cross-functional teams.
✨Familiarise Yourself with AI Concepts
Given the role's focus on AI evaluation, brush up on the latest trends and technologies in AI. Understand how large language models work and be ready to discuss how you can contribute to advancing them through your engineering expertise.
