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- Tasks: Train AI models by evaluating and creating code examples for improved accuracy.
- Company: Join a forward-thinking team dedicated to AI development.
- Benefits: Enjoy flexible hours, remote work, and ongoing projects.
- Why this job: Make a real impact on AI systems while working from anywhere.
- Qualifications: Degree in Computer Science or equivalent experience, strong communication skills.
- Other info: Perfect for problem-solvers who thrive in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for individuals with strong coding and software development experience to help train AI models. You will review, evaluate, and create code examples or programming-related content to improve AI accuracy and performance.
This role is perfect for developers, software engineers, or programmers who enjoy problem-solving and want flexible, remote work opportunities contributing to AI development.
Responsibilities:- Evaluate and provide feedback on AI-generated outputs related to full stack software development
- Create and refine text, data, or questions for AI training involving both front-end and back-end tasks
- Ensure accuracy, relevance, and clarity
- Follow detailed guidelines for consistency and quality
- Bachelor's/Master's in Computer Science or related field, or equivalent experience
- Strong communication and analytical skills
- Ability to simplify complex concepts
- High attention to detail
- English proficiency
- Work remotely with flexible hours
- Contribute to cutting-edge AI systems
- Ongoing projects available
Full Stack Engineer - AI Training (Remote, Freelance) in London employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer - AI Training (Remote, Freelance) in London
✨Tip Number 1
Network like a pro! Reach out to fellow developers and AI enthusiasts on platforms like LinkedIn or GitHub. Join relevant groups and forums to connect with people who might know about job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects, especially those related to AI or full stack development. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common coding challenges and AI-related questions. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you tackle problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to contribute to AI development.
We think you need these skills to ace Full Stack Engineer - AI Training (Remote, Freelance) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Full Stack Engineer role. Highlight your coding experience and any relevant projects that showcase your skills in both front-end and back-end development.
Showcase Your Problem-Solving Skills: In your application, don’t just list your technical skills. Share examples of how you've tackled complex problems in the past. We love seeing how you approach challenges, especially in AI-related tasks!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate clarity, especially when it comes to explaining complex concepts.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in AI training!
How to prepare for a job interview at Braintrust
✨Know Your Code Inside Out
Make sure you’re well-versed in the programming languages and frameworks mentioned in the job description. Brush up on your coding skills and be ready to discuss your past projects, especially those that involved both front-end and back-end development.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. This role is all about evaluating and improving AI outputs, so demonstrating your analytical thinking will really impress the interviewers.
✨Communicate Clearly and Effectively
Since strong communication skills are a must, practice explaining complex concepts in simple terms. You might be asked to clarify your thought process during the interview, so being articulate will help you stand out.
✨Familiarise Yourself with AI Concepts
Even if you're primarily a developer, having a basic understanding of AI and machine learning principles can give you an edge. Research how AI models are trained and be prepared to discuss how your coding experience can contribute to this process.
