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 remote work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with potential for extension based on performance.
- Why this job: Make an impact in AI by collaborating with top researchers and enhancing coding solutions.
- 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.
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 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 — 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.
Remote working/work at home options are available for this role.
Remote Software Engineer – AI Research & 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 while contributing to impactful projects in the AI space. The company's focus on high-quality data and cutting-edge solutions ensures that employees are at the forefront of technological advancements, making it a rewarding place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Software Engineer – AI Research & Evaluation (US-based) in Ramsbottom
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨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 help you feel more confident when it’s showtime.
✨Tip Number 3
Tailor your approach! When you apply through our website, make sure to highlight your relevant experience and skills that match the job description. Show us why you’re the perfect fit for the role!
✨Tip Number 4
Follow up after applying! A quick email or message can remind us of your enthusiasm and keep you on our radar. Just a simple note saying you’re excited about the opportunity can make a difference.
We think you need these skills to ace Remote Software Engineer – AI Research & Evaluation (US-based) in Ramsbottom
Some tips for your application 🫡
Read the Job Description Thoroughly:Before you start your application, make sure to read the job description carefully. It’s packed with info about what we’re looking for and can help you tailor your application to show us why you’re a great fit!
Showcase Your Skills:When filling out your application, highlight your experience with Python and any other relevant languages. We want to see how your skills align with the role, so don’t hold back on sharing your achievements and projects!
Be Clear and Concise:In your written application, clarity is key! Use straightforward language and structure your responses well. This helps us understand your thought process and makes it easier for us to evaluate your application.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll get all the latest updates on your application status!
How to prepare for a job interview at Turing
✨Know Your Tech Stack
Make sure you brush up on your Python skills, as it's the primary language for this role. Familiarise yourself with frameworks and best practices for building production-grade software. Also, don’t forget to review JavaScript, C/C++, Java, Rust, and Go, as they might come up during the interview.
✨Showcase Your Experience
Prepare to discuss specific projects where you've shipped high-impact products. Highlight your experience in fast-paced environments like Stripe or Airbnb, and be ready to explain your role in those projects. Use metrics to demonstrate the impact of your work.
✨Communicate Clearly
Since excellent communication skills are a must, practice articulating your thoughts clearly and concisely. Be prepared to explain your evaluation rationales and how you approach problem-solving in software engineering. This will help you stand out during the AI video interview.
✨Understand the Role's Requirements
Familiarise yourself with the responsibilities of a Software Engineering evaluator. Think about how you would curate code examples, evaluate AI-generated code, and collaborate with cross-functional teams. Prepare examples from your past experiences that align with these tasks.
