At a Glance
- Tasks: Create and curate datasets for training advanced AI models while collaborating with top researchers.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Flexible hours, remote work, and the chance to work on cutting-edge technology.
- Other info: Opportunity for growth with potential contract extensions based on performance.
- Why this job: Make a real impact in AI by refining code and enhancing enterprise solutions.
- Qualifications: 3+ years in software engineering with expertise in modern programming languages.
The predicted salary is between 51750 - 63250 £ 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.
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, JavaScript (including ReactJS), 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, 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 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.
AI Code Evaluator & Data Curation Engineer 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.
StudySmarter Expert Advice🤫
We think this is how you could land AI Code Evaluator & Data Curation Engineer in London
✨Make Your Portfolio Shine
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We think you need these skills to ace AI Code Evaluator & Data Curation Engineer in London
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!
Mention Your Availability and Rates:Since this is a freelance role, we want to know when you’re available and what your rates are like! Be upfront about your typical work hours and project timelines. This transparency will help us see if we can sync up for future projects at Turing.
How to prepare for a job interview at Turing
✨Showcase Your Code Wizardry
Since you're going for a freelance role in software engineering, have a solid portfolio ready to flaunt your best work. Include projects that highlight your coding skills, frameworks you excel in, and any problem-solving feats you've pulled off. This is your chance to shine, so choose pieces that reflect your unique style and expertise!
✨Prepare for Technical Challenges
Freelance gigs often involve tech assessments or coding challenges, so be ready to tackle some hands-on problems. Brush up on common algorithms, data structures, and any languages/frameworks relevant to the role at Turing. Being comfortable with platforms like HackerRank or LeetCode can give you an edge and showcase your skills under pressure!
✨Be Clear About Your Rates and Flexibility
As a freelancer, be prepared to discuss your rates upfront. It's crucial to communicate your pricing structure clearly and whether you're open to negotiation. Do your homework on industry standards to ensure you pitch a fair and competitive rate that reflects your skills and experience!
✨Understand Their Tech Stack
Before the interview, get familiar with the tools and technologies used at Turing. Whether it's a particular framework or a specific coding methodology, being knowledgeable about their tech stack not only shows your interest but also helps you present how you could fit seamlessly into their existing projects. Demonstrating you’ve done your homework can set you apart from other candidates!
