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- Tasks: Help shape the future of AI by developing and reviewing software engineering concepts.
- Company: Join a leading enterprise client focused on innovative AI solutions.
- Benefits: Enjoy remote work flexibility and varied assignments based on your availability.
- Why this job: Make a real impact on AI development while enhancing your coding skills.
- Qualifications: 3+ years in full stack development with proficiency in multiple programming languages.
- Other info: Dynamic role with opportunities for growth and collaboration in a tech-driven environment.
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.
Job Description
- Creating and answering technical questions about software engineering concepts and full stack development, coding best practices, and debugging strategies to help train AI models.
- Reviewing and evaluating code generated by AI in languages such as JavaScript, Python, Go, Java, TypeScript, and C++.
- 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.
Qualifications
- 3+ years of professional software engineering experience with full stack development.
- Proficiency in at least two of the following languages: JavaScript, Python, Go, Java, TypeScript, or C++.
- 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.
Additional Information
- 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: Upwork
Contact Detail:
Upwork 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 that highlight your full stack development expertise. This is your chance to demonstrate your coding prowess and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on coding challenges and system design questions. Practice makes perfect, so get comfortable with explaining your thought process while solving problems.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and helps us get to know you better.
We think you need these skills to ace Full Stack Software Engineers for AI Training
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in full stack development and the programming languages mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
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 makes you a great fit for this role. We love seeing enthusiasm and a personal touch, so let your personality come through.
Showcase Your Technical Skills: In your application, include specific examples of your work with coding best practices, debugging techniques, and version control workflows. We’re keen to see how you’ve tackled challenges in the past and how you can contribute to our mission.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Upwork
✨Know Your Tech Inside Out
Make sure you brush up on the programming languages mentioned in the job description, especially JavaScript, Python, Go, Java, TypeScript, and C++. Be ready to discuss your experience with these languages and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some coding challenges or technical questions during the interview. Think about how you would approach debugging a complex issue or improving code quality. Practising common algorithms and data structures can really help you shine.
✨Communicate Clearly
Since the role involves providing feedback on coding practices, it's crucial to demonstrate your ability to communicate technical concepts clearly. Practice explaining your thought process and decisions in previous projects, as this will show your potential employer that you can articulate your ideas effectively.
✨Familiarise Yourself with Version Control
Given the emphasis on Git and collaborative workflows, make sure you're comfortable discussing your experience with version control systems. Be prepared to talk about branching, merging, and any challenges you've faced while working in a team environment.