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 based on performance.
- Other info: Dynamic role with opportunities to work on innovative AI projects.
- 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 63000 - 77000 £ 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 in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, 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 built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations.
We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, 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 Java Script (including React JS), 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 Java Script (including React JS), 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
Evaluation Process
- The application process takes 15–30 minutes.
- Completion of an AI video interview is required.
Remote Software Engineer in Newcastle upon Tyne employer: Turing
Turing is an exceptional employer for Contract Law Experts, offering the unique opportunity to work on groundbreaking AI projects from the comfort of your home. With a flexible remote work arrangement and competitive compensation, Turing fosters a collaborative culture that encourages professional growth and innovation in the legal field. Join a team that values your expertise while providing the chance to learn and contribute to the future of AI-driven legal solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Software Engineer in Newcastle upon Tyne
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We think you need these skills to ace Remote Software Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Showcase Your GitHub Projects:When applying for a freelance software engineering gig at Turing, make sure to include your GitHub link in your application. Highlighting your code repositories, contributions to Open Source, and any personal projects can really set you apart and give us insight into your skills and coding style.
Tailor Your CV with Relevant Skills:In software development, the specifics matter! Make sure your CV lists the programming languages and technologies you excel at. Focus on the ones that align with the projects Turing is working on. Listing your tech stack clearly will help us understand how you fit into our team.
Include a Portfolio of Your Work:A solid portfolio is a must when applying for freelance roles. Include links to any apps, websites, or software you've developed. Highlight any projects that reflect a strong user experience, efficiency, or innovative solutions—this is your chance to shine and show us what you can bring to the table!
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How to prepare for a job interview at Turing
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