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For Companies At a Glance
- Tasks: Create and refine Earth Science content, moderate chats, and audit expert work.
- Company: Mindrift connects specialists with AI projects to shape the future of technology.
- Benefits: Enjoy remote work, flexible hours, and enhance your portfolio with advanced AI experience.
- Why this job: Join a mission-driven team influencing AI's understanding in Earth Science while working on exciting projects.
- Qualifications: Master's or PhD in Earth Science, 5 years experience, and advanced English skills required.
- Other info: This is a part-time freelance role, perfect for balancing with studies or other commitments.
The predicted salary is between 36000 - 60000 £ per year.
Overview
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.
At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
What we do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
About the Role
Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
Responsibilities
- Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Earth Science, while also developing references and examples of tasks.
- Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines.
- Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.
How to get started
Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you\’ll help shape the future of AI while ensuring technology benefits everyone.
Requirements
- You have a Master\’s Degree or PhD in Earth Science or in relevant area.
- You have 5 years of professional experience ideally as analyst or in a relevant fields.
- Your level of English is advanced (C1) or above.
- Experience in Generative AI/Prompt engineering/Reviewing
- Experience in Teaching/Training/Lecturing in a Earth Science or related field is a plus.
- You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
- Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.
Benefits
Why this freelance opportunity might be a great fit for you?
- Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
- Work on advanced AI projects and gain valuable experience that enhances your portfolio.
- Influence how future AI models understand and communicate in your field of expertise.
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Freelance Earth Science Expert - Quality Assurance (AI Trainer) employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Earth Science Expert - Quality Assurance (AI Trainer)
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Earth Science. This will not only help you understand the role better but also allow you to engage in meaningful discussions during interviews, showcasing your expertise.
✨Tip Number 2
Join relevant online communities or forums related to Earth Science and AI. Engaging with other professionals can provide insights into the industry and may even lead to networking opportunities that could benefit your application.
✨Tip Number 3
Prepare to discuss your previous experiences in detail, especially those that relate to content creation, auditing, and training. Be ready to share specific examples of how you've contributed to projects in the past, as this will demonstrate your capability for the role.
✨Tip Number 4
Since the role involves chat moderation, practice articulating your thoughts clearly and concisely. You might want to simulate a chat environment where you can respond to project-related questions, helping you feel more confident during the actual role.
We think you need these skills to ace Freelance Earth Science Expert - Quality Assurance (AI Trainer)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Earth Science and any work related to AI or quality assurance. Use specific examples that demonstrate your expertise and how it aligns with the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Earth Science and AI. Mention your advanced English proficiency and how your background makes you a perfect fit for the freelance role at Mindrift.
Showcase Relevant Experience: In your application, emphasise your 5 years of professional experience and any teaching or training roles you've held. Highlight your ability to adapt to complex guidelines and your experience with Generative AI.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no grammatical errors and that your documents are clear and concise, reflecting your advanced English skills.
How to prepare for a job interview at Mindrift
✨Showcase Your Expertise
Make sure to highlight your academic qualifications and professional experience in Earth Science. Be prepared to discuss specific projects or research you've worked on that demonstrate your expertise and how it relates to the role.
✨Familiarise Yourself with Generative AI
Since the role involves working with Generative AI, brush up on your knowledge of AI models and prompt engineering. Be ready to discuss how you can contribute to improving these models based on your Earth Science background.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to provide constructive feedback. Think of examples where you've had to audit work or moderate discussions, and be ready to explain your thought process.
✨Demonstrate Flexibility and Enthusiasm
This role requires switching between tasks and adapting to complex guidelines. Show your willingness to learn new methods and express your enthusiasm for contributing to innovative AI projects during the interview.
