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- Tasks: Create advanced datasets and collaborate with researchers to train AI models.
- Company: Leading tech company focused on innovative AI solutions.
- Benefits: Flexible hours, remote work, and the chance to shape future technologies.
- Why this job: Join a dynamic team and work on cutting-edge AI-driven coding solutions.
- Qualifications: 5+ years in software engineering and expertise in full-stack applications.
- Other info: Open to candidates in the UK and Western EU, with great growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company is seeking a Software Engineering evaluator who will contribute to AI model training by creating advanced datasets and collaborating closely with researchers.
Candidates should have at least 5 years of software engineering experience and strong expertise in building full-stack applications.
The role allows for flexible engagement, requiring a minimum of 10 hours per week, and is open to individuals based in the UK or Western EU countries.
This position offers a dynamic opportunity to work on cutting-edge AI-driven coding solutions.
AI Code Evaluator (Contractor) – Multilang Dataset in Leigh employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Code Evaluator (Contractor) – Multilang Dataset in Leigh
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or software engineering. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your full-stack applications and any relevant projects. This is your chance to demonstrate your expertise and creativity to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common coding challenges and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace AI Code Evaluator (Contractor) – Multilang Dataset in Leigh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering experience and full-stack application skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Code Evaluator position and how your expertise can contribute to our cutting-edge projects. Keep it engaging and personal.
Showcase Your Technical Skills: Since this role involves creating advanced datasets, be sure to mention any specific technologies or programming languages you’re proficient in. We love seeing candidates who can demonstrate their technical prowess!
Apply Through Our Website: We encourage you to apply directly 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 Jobster
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your full-stack development skills and be ready to discuss specific projects where you've applied these technologies. This will show that you not only meet the requirements but also have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex software engineering challenges in the past. Think of examples where you had to create advanced datasets or collaborate with researchers. This will demonstrate your ability to contribute effectively to AI model training.
✨Flexibility is Key
Since the role allows for flexible engagement, be prepared to discuss how you manage your time and workload. Share examples of how you’ve successfully balanced multiple projects or commitments in the past, highlighting your adaptability and commitment to delivering results.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team dynamics, the types of AI-driven coding solutions they are working on, or how they measure success in this position. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
