At a Glance
- Tasks: Shape the future of AI by providing human feedback to improve autonomous agents.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement potential.
- 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 45000 - 55000 € 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.
Technical Consultant (Remote) (Bradford) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing Technical Consultants to thrive in a remote setting. With a focus on cutting-edge AI projects, employees benefit from continuous learning opportunities and the chance to contribute to transformative technologies that shape the future of autonomous agents. The company values diversity in skills and perspectives, ensuring that every team member plays a vital role in driving impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Consultant (Remote) (Bradford)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend virtual meetups. 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 automation or backend engineering. 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 technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in roles like Technical Consultant.
✨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) (Bradford)
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 Employer near you
✨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 any other relevant language, and have examples of your work handy to showcase your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially those involving complex systems integration or AI automation. Highlight how you approached these problems and the solutions you implemented, as this will demonstrate your ability to think critically and adapt.
✨Get Familiar with Real-World Applications
Since the role involves working with live environments and multi-turn interactions, be ready to discuss your practical experiences. Think of instances where you've built production-grade software or integrated agents with tools like Supabase or Gmail, and be prepared to explain the impact of your work.
✨Attention to Detail is Key
During the interview, emphasise your attention to detail, especially when it comes to providing technical feedback. Prepare to discuss how you've identified subtle failures in past projects, such as privacy leaks or authority escalation, and how you addressed them to ensure system integrity.
