At a Glance
- Tasks: Help shape the future of AI by training advanced generative systems.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
- Other info: Dynamic role with potential for significant career advancement.
- Why this job: Make a real impact on cutting-edge AI projects with top tech companies.
- Qualifications: 2+ years in backend engineering and strong coding skills required.
The predicted salary is between 45000 - 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 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.
Software Engineering Consultant (Remote) (Glasgow City) in London employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering remote work flexibility from Glasgow City. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge technology while fostering a supportive work culture that values creativity and technical excellence. Join us to be part of a team that shapes the future of autonomous agents and enjoy the unique advantage of working alongside leading AI organisations.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineering Consultant (Remote) (Glasgow City) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. 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 AI and backend engineering. This is your chance to demonstrate your expertise and passion for the field, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in detail. Confidence is key, so let your passion for software engineering come through!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. So, what are you waiting for? Get that application in!
We think you need these skills to ace Software Engineering Consultant (Remote) (Glasgow City) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
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 past work that align with our mission at Outlier, and let us know why you’re excited about this role.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript, and your experience with SQL databases. We love seeing practical examples of how you've built production-grade software, so include those details!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
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'll likely be asked about your experience with databases during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex systems integration or AI automation challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Understand the Project Goals
Familiarise yourself with Outlier's mission and the projects they work on, especially around training Large Language Models. This will help you align your answers with their objectives and demonstrate your genuine interest in shaping the future of autonomous agents.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the tools they use for integration or how they handle multi-turn system interactions. This shows that you're not just interested in the job, but also in how you can contribute to their success.
