At a Glance
- Tasks: Shape the future of AI by developing and optimising autonomous agents.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic projects with leading AI organisations and excellent career advancement potential.
- Why this job: Join us to make a real impact on cutting-edge AI technology.
- Qualifications: 2+ years in backend engineering and strong coding skills required.
The predicted salary is between 40000 - 50000 € 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.
Freelance Software Engineer (Remote) (Newcastle upon Tyne) employer: Employer near you
Outlier is an exceptional employer for freelance software engineers, offering the flexibility of remote work while engaging in cutting-edge AI projects that shape the future of autonomous agents. With a collaborative culture that values innovation and technical excellence, employees are encouraged to grow their skills and contribute to meaningful advancements in AI technology. The opportunity to work with leading organisations in the field provides unique advantages for professional development and networking in Newcastle upon Tyne.
StudySmarter Expert Advice🤫
We think this is how you could land Freelance Software Engineer (Remote) (Newcastle upon Tyne)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AI or software engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and complex systems. This is your chance to demonstrate your expertise and make a lasting impression.
✨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 projects in detail—this is where we can really shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Outlier.
We think you need these skills to ace Freelance Software Engineer (Remote) (Newcastle upon Tyne)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Freelance Software Engineer. Highlight your experience in backend engineering and any relevant projects that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Provide examples of how you've built production-grade software and handled multi-turn system interactions. We love seeing practical experience!
Be Clear and Concise:When writing your cover letter or application, keep it clear and to the point. We appreciate outstanding attention to detail, so make sure your writing reflects that. Avoid jargon unless it's necessary to explain your expertise.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates about your application status directly from us!
How to prepare for a job interview at Employer near you
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages and technologies mentioned in the job description. Brush up on Python, JavaScript, or Go, and be ready to discuss your experience with SQL databases. We recommend preparing examples of projects where you’ve used these skills effectively.
✨Showcase Your Problem-Solving Skills
Since the role involves complex systems integration, be prepared to discuss specific challenges you've faced in past projects. We suggest using the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you tackled issues like privacy leaks or session discovery.
✨Demonstrate Attention to Detail
This position requires a keen eye for detail, especially when providing technical feedback. We advise you to prepare a few examples where your attention to detail made a significant impact on a project. Think about how you ensured high-quality outputs in your previous roles.
✨Engage with Their Vision
Outlier is focused on shaping the future of AI agents, so show genuine interest in their mission. We suggest researching their projects and coming up with thoughtful questions about their work with Large Language Models. This will demonstrate your enthusiasm and alignment with their goals.
