At a Glance
- Tasks: Create cutting-edge datasets and collaborate on AI model training with top researchers.
- 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 work with potential for career growth and project extensions.
- Why this job: Make a real difference in AI development while enhancing your coding skills.
- Qualifications: 3+ years of software engineering experience and strong coding skills in multiple languages.
The predicted salary is between 31500 - 38500 £ 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.
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, Java Script (including React JS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, 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 that can verify the quality of the 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:3+ years of software engineering experience.
Strong expertise in building full-stack applications 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 (partial PST overlap required).
Type: Contractor (no medical/paid leave).
Duration: 1 month (starting next week; potential extensions based on performance and fit).
Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany).
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.
Software Developer in London 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.
