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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 workload.
- Other info: Ideal for those seeking dynamic projects and growth opportunities.
- 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 projects’ 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 employer: Lifted, an Upwork Company™
Contact Detail:
Lifted, an Upwork Company™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Software Engineers for AI Training
✨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
Apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly helps us get your application in front of the right people faster. Don’t miss out!
We think you need these skills to ace Full Stack Software Engineers for AI Training
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your full stack development experience and any specific projects you've worked on. We want to see how your skills align with the role, so don’t hold back!
Be Clear and Concise: When answering technical questions or explaining your experience, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Remember, we’re looking for effective communication!
Tailor Your Application: Customise your application to reflect the job description. Mention your experience with Git, coding standards, and debugging techniques. This shows us you’ve done your homework and are genuinely interested in the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Lifted, an Upwork Company™
✨Know Your Tech Inside Out
Make sure you brush up on your full stack development skills, especially around coding best practices and debugging techniques. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience.
✨Master Version Control
Since strong knowledge of Git is crucial, be prepared to talk about your experience with branching, merging, and collaborative workflows. You might even want to share a story about a challenging version control issue you faced and how you resolved it.
✨Communicate Clearly
Outstanding attention to detail is key, so practice articulating your thoughts clearly. When discussing technical feedback or coding standards, aim for clarity and conciseness to demonstrate your ability to communicate complex ideas effectively.
✨Show Your Passion for AI
Since the role involves shaping the future of AI, express your enthusiasm for the field. Share any relevant experiences or projects that highlight your interest in AI training and how you see your role contributing to its advancement.