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- Tasks: Train AI models by evaluating their logic and solving complex problems.
- Company: Join a cutting-edge team focused on satellite systems and AI technology.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £30.36 per hour.
- Why this job: Be part of an innovative culture that values your input and creativity.
- Qualifications: Masters/PhD preferred but not required; strong background in engineering is essential.
- Other info: Payment via PayPal; available only to candidates in select countries.
The predicted salary is between 63000 - 84000 £ per year.
We are looking for a satellite systems engineer 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 satellite systems engineering - a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Aerospace Engineering, Telecommunications Engineering, Systems Engineering.
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:
- A current, in progress, or completed Masters and/or PhD is preferred but not required.
- Fluency in English (native or bilingual level).
- Detail-oriented.
- Proficient in physics, engineering, inductive/deductive reasoning, physical/temporal/spatial reasoning.
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
Job Types: Full-time, Part-time
Satellite Systems Engineer - AI Trainer. Job in London Education & Training Jobs employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Satellite Systems Engineer - AI Trainer. Job in London Education & Training Jobs
✨Tip Number 1
Familiarise yourself with the latest advancements in satellite systems engineering and AI technologies. This will not only enhance your understanding but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the aerospace and telecommunications fields. Attend relevant webinars or conferences to connect with industry experts who might provide insights or referrals for the position.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've applied your engineering skills to solve complex problems. Highlighting your problem-solving abilities will be crucial in demonstrating your fit for the role.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning, especially as they relate to chatbot development. Showing your enthusiasm and knowledge in this area can set you apart from other candidates.
We think you need these skills to ace Satellite Systems Engineer - AI Trainer. Job in London Education & Training Jobs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in satellite systems engineering and any relevant qualifications, such as a Masters or PhD. Emphasise your experience with AI models and problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI training and satellite systems. Mention specific projects or experiences that demonstrate your ability to evaluate AI outputs and solve complex problems.
Showcase Relevant Skills: In your application, clearly outline your proficiency in physics, engineering, and reasoning skills. Provide examples of how you've applied these skills in previous roles or projects.
Proofread Your Application: Before submitting, carefully proofread your application 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 satellite systems engineering and related fields during the interview. Be prepared to discuss specific projects or experiences that demonstrate your expertise in these areas.
✨Prepare for Problem-Solving Questions
Since the role involves evaluating AI models and solving complex problems, expect questions that assess your analytical skills. Practice explaining your thought process when tackling technical challenges, as this will showcase your reasoning abilities.
✨Demonstrate Attention to Detail
As a detail-oriented position, be ready to provide examples of how you've ensured accuracy in your previous work. Discuss any methods you use to maintain high standards in your evaluations and outputs.
✨Familiarise Yourself with AI Concepts
Since you'll be training AI models, brush up on relevant AI concepts and methodologies. Being able to discuss how you would approach training and evaluating AI chatbots will impress your interviewers and show your commitment to the role.
