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.
- 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) – AI Evaluation (US-based) in Ashton-under-Lyne 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 engagement options and opportunities to collaborate with top-tier researchers, employees can expect meaningful contributions to cutting-edge projects while enjoying the benefits of remote work from anywhere in the United States. Turing prioritises employee growth through continuous learning and exposure to pioneering AI systems, making it an ideal place for ambitious engineers looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Backend Engineer (Python/FastAPI) – AI Evaluation (US-based) in Ashton-under-Lyne
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Brush up on your coding skills and be ready to discuss your past projects. We want to see how you think and solve problems, so practice explaining your thought process.
✨Tip Number 3
Show off your passion for AI! Share your thoughts on recent advancements or projects you’ve worked on. This can really set you apart and show that you’re genuinely interested in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Remote Senior Backend Engineer (Python/FastAPI) – AI Evaluation (US-based) in Ashton-under-Lyne
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight your experience with systems programming and backend development. We want to see how your skills align with the role, so don’t hold back on showcasing your 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 in the past.
Highlight Your AI Experience:If you've worked with AI or large language models before, make it known! We’re looking for engineers who have pushed the boundaries of intelligent systems, so share any relevant experiences that demonstrate your expertise.
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 makes the whole process smoother for everyone involved.
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in Python, C/C++, Rust, and Go. Brush up on your systems programming and backend development skills, 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 where you've tackled complex coding challenges. Be ready to explain your thought process and how you approached debugging or optimising code, especially in performance-critical applications.
✨Communicate Clearly
Since excellent communication is key for this role, practice articulating your ideas clearly and concisely. You might be asked to provide structured evaluation rationales, so being able to explain your reasoning is crucial.
✨Familiarise Yourself with AI Concepts
Given the focus on AI evaluation, brush up on the latest trends and technologies in AI. Understanding how large language models work and their applications will help you stand out as a candidate who’s not just technically skilled but also knowledgeable about the field.
