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- Tasks: Design high-quality questions and contribute insights for AI evaluation tasks.
- Company: Join Crossing Hurdles, a leader in AI research collaboration.
- Benefits: Competitive pay, flexible hours, and remote work opportunities.
- Why this job: Make an impact in AI research while working independently.
- Qualifications: 4+ years as a Computer Systems Analyst and access to a desktop or laptop.
- Other info: Contract role with a commitment of 15 hours/week for 3–4 weeks.
The predicted salary is between 70 - 120 £ per hour.
Join to apply for the System Analyst role at Crossing Hurdles.
Base pay range: $95.00/hr - $160.00/hr
Location: Remote
Duration: Approximately 3–4 weeks after project start
Commitment: Minimum 15 hours/week
Role overview: The role is a Computer Systems Analyst position contracted through Crossing Hurdles. We refer top candidates to partners working with AI research labs to help build and train models.
Role Responsibilities:
- Use professional expertise to design high-quality questions related to the occupation of a Computer Systems Analyst.
- Contribute insights that support AI evaluation tasks.
- Work asynchronously and independently, with flexible hours.
Requirements:
- Minimum of 4 years of full-time work experience as a Computer Systems Analyst.
- Access to a desktop or laptop computer (Chromebooks not supported).
- Ability to commit at least 15 hours/week for 3–4 weeks.
Please note: We cannot support H1-B or STEM OPT candidates.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology and Research
Industries: Professional Services and Research Services
Referrals increase your chances of interviewing at Crossing Hurdles by 2x.
System Analyst in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land System Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the lookout for a System Analyst role. A personal referral can really boost your chances of landing that interview.
✨Tip Number 2
Prepare for those interviews! Research common questions for System Analysts and practice your responses. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience.
✨Tip Number 3
Show off your skills! If you have any relevant projects or case studies, be ready to discuss them during interviews. This is your chance to demonstrate how your expertise aligns with the role at Crossing Hurdles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for top talent like you to join our team and work on exciting AI projects.
We think you need these skills to ace System Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the System Analyst role. Highlight your relevant experience and skills that match the job description. 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 the perfect fit for this role. Share specific examples of your work as a Computer Systems Analyst and how you can contribute to our projects.
Showcase Your Expertise: Don’t hold back on showcasing your professional expertise in your application. We’re looking for candidates with at least 4 years of experience, so make sure to highlight your achievements and insights in the field.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Stuff
Make sure you brush up on your knowledge of computer systems analysis. Be ready to discuss your past experiences and how they relate to the role. Think about specific projects you've worked on and be prepared to explain your contributions.
✨Prepare Thoughtful Questions
Show your interest in the role by preparing insightful questions about the company and the projects you'll be working on. This not only demonstrates your enthusiasm but also helps you gauge if the position is a good fit for you.
✨Highlight Your Flexibility
Since this role requires independent work with flexible hours, emphasise your ability to manage your time effectively. Share examples of how you've successfully worked asynchronously in the past.
✨Familiarise Yourself with AI Concepts
Given that the role involves contributing to AI evaluation tasks, it’s beneficial to have a basic understanding of AI concepts. Brush up on relevant terminology and be ready to discuss how your skills can support AI research.
