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- Tasks: Train AI models and evaluate their performance through complex problem-solving.
- Company: Join a forward-thinking team focused on energy research and AI innovation.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £30.36 per hour.
- Why this job: Make an impact in AI while working on projects that excite you in a supportive culture.
- Qualifications: Expertise in physics or chemistry preferred; Masters/PhD is a plus but not mandatory.
- Other info: Payment via PayPal; no fees required from applicants.
We are looking for an energy research scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
In this role you will need to hold an expert understanding of physics and chemistry - a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Environmental Science, Energy Economics, Mechanical Engineering, Electrical Engineering, Materials Science, Chemical Engineering, Physics, Agricultural Science.
Benefits:
- This is a full-time or part-time REMOTE position
- You’ll be able to choose which projects you want to work on
- You can work on your own schedule
- Projects are paid hourly starting at £30.36 per hour, with bonuses on high-quality and high-volume work
Responsibilities:
- Give AI chatbots diverse and complex problems and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
Qualifications:
- Fluency in English (native or bilingual level)
- Detail-oriented
- Proficient in inductive/deductive reasoning, physical/temporal/spatial reasoning, research methods
- A current, in progress, or completed Masters and/or PhD is preferred but not required
Note: Payment is made via PayPal. We will never ask for any money from you.
Energy Research Scientist - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Research Scientist - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and energy research. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of energy research and AI. Attend relevant webinars, workshops, or conferences to make connections that could lead to referrals or insider information about the job.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've applied your knowledge in physics, chemistry, or related fields. Highlight how these experiences can contribute to training AI models effectively.
✨Tip Number 4
Stay updated on the latest tools and software used in AI training and evaluation. Being knowledgeable about these technologies can set you apart from other candidates and show your commitment to the role.
We think you need these skills to ace Energy Research Scientist - AI Trainer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Energy Research Scientist - AI Trainer position. Familiarise yourself with the specific skills needed, such as inductive/deductive reasoning and research methods.
Tailor Your CV: Customise your CV to highlight relevant experience in physics, chemistry, or related fields. Emphasise any projects or research that demonstrate your ability to evaluate AI models and solve complex problems.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for energy research and AI. Mention specific examples of your work that align with the job description, and explain why you're excited about the opportunity to train AI models.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Technical Knowledge
Make sure to highlight your understanding of physics and chemistry during the interview. Be prepared to discuss specific concepts or projects you've worked on that relate to energy research, as this will demonstrate your expertise in the field.
✨Demonstrate Problem-Solving Skills
Since the role involves evaluating AI outputs and solving complex problems, be ready to share examples of how you've approached challenging situations in past projects. This could include discussing methodologies you used or how you overcame obstacles.
✨Familiarise Yourself with AI Concepts
Even if you’re not an AI expert, having a basic understanding of AI principles and how they apply to your work will be beneficial. Brush up on relevant terminology and be prepared to discuss how you would approach training AI models.
✨Prepare Questions for the Interviewers
Having thoughtful questions ready shows your interest in the role and the company. Ask about the types of projects you might work on, the team dynamics, or how success is measured in this position. This can also help you gauge if the role is the right fit for you.
