Description:

This is a freelance role for a project at Mindrift, where innovation meets opportunity in the field of AI.
Typical tasks include developing and submitting precise answers based on complex prompts, which may involve coding, automation, and data processing tasks.
The role requires writing and optimizing Python scripts for data analysis, automation, and verification.
You will work with large datasets efficiently, ensuring that the data is clean and well-structured.
The position involves utilizing various LLMs to generate advanced prompts and improve the quality of AI output.
Outputs must be formatted in required structures such as Markdown, JSON, tables, etc.
You will identify and troubleshoot non-trivial technical problems related to AI workflows and integrations.
The role is fully remote, allowing you to work on your own schedule while contributing to projects aligned with your skills.

Requirements:

Candidates must hold a Master’s or Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related technical fields.
A strong technical background and hands-on experience with LLMs and AI frameworks are required to enhance automation and problem-solving.
Applicants should possess data analysis and automation skills, with experience in scripting (e.g., Python) for task efficiency.
Proficiency in working with large datasets and integrating data from multiple sources is necessary.
The ability to develop, test, and optimize AI-driven workflows and tools is essential.
A level of English that is upper-intermediate (B2) or above is required.
Candidates must be ready to learn new methods, switch between tasks and topics quickly, and sometimes work with challenging, complex guidelines.
A laptop, internet connection, available time, and enthusiasm to take on challenges are necessary for this fully remote freelance role.

This freelance opportunity allows you to participate in a part-time, remote project that fits around your primary professional or academic commitments.
You will work on advanced AI projects, gaining valuable experience that enhances your portfolio.
The role provides an opportunity to influence how future AI models understand and communicate in your field of expertise.