Description:

The position may not be available immediately after you apply, but candidates are encouraged to upload their CVs if interested in participating.
There are exciting projects coming soon with plenty of tasks, and the company wants to stay in touch with potential candidates.
Once the role becomes available and candidates meet the criteria, they will be prioritized to join the project and contacted as soon as possible.
The company, Mindrift, focuses on using collective intelligence to ethically shape the future of AI.
The Mindrift platform connects specialists with AI projects from major tech innovators, aiming to unlock the potential of Generative AI by leveraging real-world expertise.
As an AI Tutor in Automotive Engineering, candidates will have the opportunity to collaborate on projects that aim to improve GenAI models' ability to address specialized questions and achieve complex reasoning skills.
Typical tasks may include generating prompts that challenge AI, defining comprehensive scoring criteria to evaluate the accuracy of AI’s answers, and correcting the model’s responses based on domain-specific knowledge.
Candidates can apply to this post, qualify, and contribute to projects aligned with their skills on their own schedule.

Requirements:

Candidates must have a Master's degree in Automotive Engineering or a related field.
A minimum of 3 years of professional experience in Automotive Engineering or a similar field is required, which may include Mechanical Engineering, Electrical Engineering, Materials Science & Engineering, Computer Science & Engineering, Aerospace Engineering, Mechatronics & Robotics, Industrial Engineering, or Chemical Engineering.
An advanced level of English (C1) or above is necessary.
Candidates should be ready to learn new methods, able to switch between tasks and topics quickly, and sometimes work with challenging, complex guidelines.
The freelance role is fully remote, requiring only a laptop, internet connection, available time, and enthusiasm to take on challenges.

Candidates can participate in part-time, remote, freelance projects that respect their primary professional or academic commitments.
This role allows individuals to try their hand at an AI project and enrich their portfolio with new experiences.
Candidates will have the opportunity to make a tangible impact on the quality of AI.