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- Tasks: Help shape the future of AI by developing and improving software engineering practices.
- Company: Join a leading enterprise client focused on innovative AI solutions.
- Benefits: Enjoy remote work, flexible assignments, and varied workloads.
- Other info: Ideal for those seeking dynamic projects with potential for growth.
- Why this job: Make a real impact on AI models while enhancing your software engineering skills.
- Qualifications: 3+ years in full stack development and strong Git knowledge required.
The predicted salary is between 60000 - 80000 £ per year.
We have partnered with one of our enterprise clients that helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced software engineer who wants to help shape the future of AI? The project's focus is helping generative AI improve its understanding of software development practices, coding standards, debugging techniques, and collaborative engineering workflows.
Responsibilities
- Creating and answering technical questions about software engineering concepts and full stack development, coding best practices, and debugging strategies to help train AI models.
- Analyzing code quality, maintainability, and adherence to real-world engineering standards.
- Providing expert-level feedback on version control workflows, collaborative coding practices, and effective debugging techniques.
We're looking for people with:
- 3+ years of professional software engineering experience with full stack development.
- Professional experience building and maintaining production-grade software systems.
- Strong knowledge of Git (or similar version control systems), including experience with branching, merging, and collaborative development workflows.
- Outstanding attention to detail and ability to clearly communicate technical feedback and coding best practices.
Nice to have:
- Backend engineering expertise with experience designing and scaling server-side systems.
- Test-Driven Development (TDD) experience and strong testing discipline.
- Experience authoring technical specifications and API contracts.
- Hands-on expertise with testing frameworks such as PyTest, JUnit, Mocha, or similar tools.
- Experience conducting code reviews, debugging complex issues, and analyzing large codebases.
- Zero-to-one experience as a founding engineer or early employee at a startup.
Benefits
- Remote work – complete tasks anytime, anywhere.
- Flexible – matched to assignments based on fit and availability.
- No guaranteed hours – workload may vary weekly.
Full Stack Software Engineers for AI Training in London employer: Lifted, an Upwork CompanyTM
Contact Detail:
Lifted, an Upwork CompanyTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Software Engineers for AI Training in London
✨Tip Number 1
Network like a pro! Reach out to fellow engineers, attend meetups, and connect with people in the AI space. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to full stack development and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on coding best practices and debugging techniques. Practice common coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Full Stack Software Engineers for AI Training in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Full Stack Software Engineer for AI Training. Highlight your experience with full stack development, coding best practices, and any relevant projects that showcase your skills in AI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Be sure to mention specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially your experience with Git and any backend engineering expertise. We want to see how you’ve applied these skills in real-world scenarios, so include examples where possible!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Lifted, an Upwork CompanyTM
✨Know Your Tech Inside Out
Make sure you brush up on your full stack development skills. Be ready to discuss coding best practices, debugging techniques, and version control workflows in detail. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or coding challenges during the interview. Think about how you can demonstrate your analytical skills and approach to problem-solving. Practice explaining your thought process clearly, as communication is key!
✨Highlight Your Collaborative Experience
Since the role involves working with AI models and providing feedback, be ready to share examples of your collaborative coding experiences. Discuss how you've worked with teams, handled code reviews, and contributed to maintaining high code quality.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's projects, their approach to AI training, and how they value feedback in their engineering processes. This shows your genuine interest and helps you assess if it's the right fit for you.