At a Glance
- Tasks: Shape the future of AI by providing human feedback to innovative companies.
- Company: Join Outlier, a leader in AI development with a collaborative spirit.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for growth.
- Other info: Dynamic role with potential for career advancement in a cutting-edge field.
- Why this job: Make a real impact on advanced generative systems and AI agents.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € per year.
About the Project
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.
Nice to have
- 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.
Technical Consultant (Remote) (Manchester) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Technical Consultants to thrive in a remote setting from Manchester. With a strong focus on employee growth, we offer opportunities to work on cutting-edge AI projects that shape the future of autonomous agents, while providing flexible working arrangements and a supportive environment for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Consultant (Remote) (Manchester) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to backend engineering or AI automation. 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 your technical knowledge. Be ready to discuss your experience with languages like Python or Java, and think about how you've tackled complex systems integration in the past.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace Technical Consultant (Remote) (Manchester) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Technical Consultant role. Highlight your experience in backend engineering and AI automation, and don’t forget to mention any relevant projects that showcase your skills in building production-grade software.
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. Mention specific experiences that align with our projects and how you can contribute to training advanced generative systems.
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to list the programming languages you’re proficient in, like Python or JavaScript, and any experience you have with SQL databases. If you've worked with live environments, shout about it!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or Go, and how you've used them in real-world projects. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific instances where you built production-grade software or handled multi-turn system interactions. This will demonstrate your ability to think critically and provide valuable insights during the interview.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions. Brush up on SQL databases and be prepared to explain how you've integrated agents with live tools like Supabase or Gmail. Practising common technical interview questions can help you articulate your thought process clearly and confidently.
✨Highlight Attention to Detail
Since the role requires outstanding attention to detail, prepare to discuss how you've provided clear, high-density technical feedback in previous roles. Bring examples of how your meticulous nature has led to successful project outcomes, especially in identifying subtle failures or optimising workflows.
