At a Glance
- Tasks: Help shape the future of AI by providing human feedback on innovative projects.
- Company: Outlier, a leader in AI collaboration with top tech companies.
- Benefits: Freelance flexibility, remote work, and opportunities to influence cutting-edge technology.
- Other info: Dynamic role with potential for growth in the evolving AI landscape.
- Why this job: Join us to train advanced generative systems and make a real impact.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 40000 - 50000 € per year.
Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.
Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.
Ideal Qualifications- 2+ years of experience in backend engineering, AI automation, or complex systems integration.
- Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
- Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
- Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
- Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
- High level of comfort implementing persistent state and session discovery using to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
AI Tools Engineer (Freelance, Remote) (Birmingham) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Tools Engineers to contribute meaningfully to cutting-edge projects from the comfort of their own homes. With a strong emphasis on employee growth, Outlier provides opportunities for continuous learning and development in the rapidly evolving field of AI, making it an ideal choice for those looking to make a significant impact in the industry while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land AI Tools Engineer (Freelance, Remote) (Birmingham)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups or webinars, and don’t be shy about sliding into DMs. 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 AI tools and backend engineering. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios relevant to AI automation and complex systems. Practice explaining your thought process clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to highlight your experience with LLMs and real-world problem-solving.
We think you need these skills to ace AI Tools Engineer (Freelance, Remote) (Birmingham)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Tools Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share specific examples of your work with LLMs or any relevant projects that demonstrate your expertise. Let us know why you’re the perfect fit!
Show Off Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript. If you've worked with SQL databases or integrated agents with live tools, make sure to include those details. We love seeing candidates who can build and maintain production-grade software!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you might be asked to demonstrate your knowledge of databases during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience with backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations.
✨Understand the Project Goals
Familiarise yourself with Outlier's mission and the types of projects they undertake. Being able to discuss how your skills can contribute to training advanced generative systems will show your genuine interest in the role.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving abilities and attention to detail. Practice explaining complex system behaviours clearly, as this is crucial for providing high-density feedback on AI agents.
