At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- 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 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 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; and 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 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 leading programs 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 — 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.
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.
Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
Remote Software Engineer – AI Research & Evaluation (US-based) in Ashton-under-Lyne employer: Turing
Turing is an exceptional employer for software engineers, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI. With a focus on employee growth, Turing provides opportunities to work alongside top-tier researchers and engage in cutting-edge projects that have a meaningful impact on the industry. Located in the vibrant tech hub of San Francisco, employees benefit from a flexible engagement model that allows for a healthy work-life balance while contributing to transformative AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Software Engineer – AI Research & Evaluation (US-based) in Ashton-under-Lyne
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, especially those who work at companies like Turing. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for that AI video interview! Brush up on your Python 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 on GitHub or your personal website, having a portfolio of your work can make a huge difference. It’s a great way to demonstrate your skills and passion for software engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, and you’ll be in the loop for any updates. Plus, it shows you’re serious about joining the team at Turing.
We think you need these skills to ace Remote Software Engineer – AI Research & 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 Python and any relevant frameworks. We want to see how your skills align with the role, so don’t hold back on showcasing your best projects!
Show Off Your Communication Skills:Since clear communication is key in this role, ensure your written application reflects that. Use structured language and be concise, as we’ll be looking for your ability to articulate complex ideas simply.
Highlight Relevant Experience:If you've worked in fast-paced environments like Stripe or Airbnb, make sure to mention it! We love seeing candidates who have a proven track record of shipping high-impact products, so let us know what you’ve accomplished.
Apply Through Our Website:Don’t forget to apply through our website! It’s the easiest way for us to keep track of your application and ensures you get all the updates directly from us. Plus, it only takes 15-30 minutes to complete!
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, as you might be asked to discuss your experience with them during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you've tackled complex software engineering challenges in the past. Think of specific examples where you improved code efficiency or scalability, as this role focuses heavily on evaluating AI-generated code.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining your thought process clearly and concisely. You might need to articulate your evaluation rationales, so being structured in your responses will help you stand out.
✨Familiarise Yourself with AI Concepts
Given the focus on AI research and evaluation, brush up on relevant AI concepts and methodologies. Understanding how AI models work and how to evaluate their performance will give you an edge in discussions during the interview.
