Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop strategies to prevent AI hallucination and ensure data accuracy.
- Company: Join a forward-thinking team tackling real-world AI challenges.
- Benefits: Flexible hours, competitive pay, and the chance to work on impactful projects.
- Why this job: Make a difference in AI by ensuring reliable data insights.
- Qualifications: Strong background in AI, data science, and experience with large datasets.
- Other info: Contract role for 1 to 3 months, perfect for students seeking hands-on experience.
The predicted salary is between 500 - 1500 £ per month.
We are seeking an expert AI Research Scientist or Data Scientist to address AI hallucination in big data analysis. The role involves developing strategies to prevent AI hallucination and ensuring the accuracy of data insights. The ideal candidate will have a strong background in AI and data science, with experience in handling large datasets and developing AI models.
Contract duration of 1 to 3 months, with 30 hours per week.
Mandatory skills:- Research Papers
- Academic Writing
- Artificial Intelligence
- Data Science
- Data Analysis
- Machine Learning
- TensorFlow
- Deep Learning
- AI Agent Development
- AI Bias Mitigation
- Scientific Research
- Microsoft Excel
AI Data Research Scientist for Hallucination Prevention employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Research Scientist for Hallucination Prevention
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data science fields. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and data analysis. Include any research papers or models you've developed. This is your chance to shine and demonstrate your expertise in preventing AI hallucination.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in AI and data science. We recommend practising your responses to technical questions and discussing your past experiences with large datasets. Confidence is key, so let your passion for the field show!
✨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 connect directly with us. Let’s make this happen together!
We think you need these skills to ace AI Data Research Scientist for Hallucination Prevention
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI, data science, and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the AI Data Research Scientist position. Use keywords from the job description to show us you’re a perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to showcase your expertise.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at FreelanceJobs
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and data science, especially around hallucination prevention. Be ready to discuss your previous projects and how you've tackled similar challenges in the past.
✨Showcase Your Research Skills
Since academic writing and research papers are mandatory skills, prepare to talk about your published work or any significant research you've conducted. Highlight how your findings can contribute to preventing AI hallucinations.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with tools like TensorFlow and any relevant machine learning frameworks. Be prepared to discuss specific models you've developed and how they relate to handling large datasets.
✨Prepare Thoughtful Questions
Think of insightful questions to ask about the company's approach to AI bias mitigation and data analysis. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
