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, competitive pay, and the chance to work on impactful projects.
- Other info: Remote role with potential for extension based on performance.
- Why this job: Make a real difference in AI development while working with top-tier engineers.
- Qualifications: 3+ years of software engineering experience, strong Python and JavaScript skills.
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 shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside 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 across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code across backend and frontend contexts 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 that can verify the quality of the code and identify error patterns across full-stack applications.
- 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 building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases.
- Experience 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 Python Engineer in Ashton-under-Lyne employer: Turing
Turing is an exceptional employer that fosters a dynamic and innovative work culture, perfect for Senior Python Engineers looking to make a significant impact in the AI field. With flexible engagement options and opportunities for collaboration with top-tier researchers, employees are encouraged to grow their skills while contributing to cutting-edge projects. Located in the vibrant tech hub of San Francisco, Turing offers a unique environment where creativity and technical expertise thrive, 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 Python Engineer in Ashton-under-Lyne
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, especially those who've worked at companies like Stripe or Airbnb. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for that AI video interview! Brush up on your Python and JavaScript skills, and be ready to showcase your problem-solving abilities. Practising common coding challenges can really help you stand out.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, having a portfolio of your work can make a huge difference. It gives potential employers a taste of what you can do with full-stack applications.
✨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 are proactive about their job search!
We think you need these skills to ace Remote Senior Python Engineer in Ashton-under-Lyne
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application for the Senior Python Engineer role. Highlight your experience with Python and JavaScript, and any relevant projects you've worked on that showcase your skills in full-stack development.
Showcase Your Impact:When detailing your past experiences, focus on the impact you made in previous roles. Use metrics or specific examples to illustrate how your contributions led to successful outcomes, especially in fast-paced environments.
Be Clear and Concise:In your written application, clarity is key. Use straightforward language and structure your thoughts logically. This will not only make it easier for us to read but also demonstrate your communication skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and allows us to process it efficiently. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you’re well-versed in Python and JavaScript, especially React and Node.js. Brush up on your knowledge of C/C++, Java, Rust, and Go too, as these will come in handy during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built full-stack applications. Highlight the impact of your work, focusing on scalability and efficiency, as this aligns with what Turing is looking for.
✨Practice Clear Communication
Since excellent communication skills are a must, practice explaining complex technical concepts in simple terms. This will help you articulate your thought process during the interview and demonstrate your ability to collaborate with cross-functional teams.
✨Familiarise Yourself with AI Concepts
Given the role's focus on AI-driven solutions, brush up on relevant AI concepts and how they apply to software engineering. Be ready to discuss how you can contribute to enhancing AI-generated code and improving model capabilities.
