Remote Freelance Machine Learning AI Trainer (Python)

Bilinguallink; Quebec; Remote; CAD 79,000 - 108,000; Part time

Job summary

Mindrift connects specialists with AI projects on its platform. We seek a Machine Learning expert with 5+ years of experience to design and verify computational problems via Python, using NumPy/Pandas/SciPy/scikit-learn. This freelance, remote role fits candidates in Canada, with rates up to $55/hour.

Contribute to diverse projects, translate scientific workflows into solvable tasks, and document solutions with verified answers. Flexible schedule for part-time engagement.

Qualifications

• Master’s or PhD in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.
• At least 5 years of Machine Learning experience with proven business impact.
• Strong programming skills in Python (NumPy, Pandas, SciPy, scikit-learn).
• Solid understanding of numerical methods and computational algorithms.
• Research or industry experience involving computational problem-solving.
• Advanced English (C1 or above).

Responsibilities

• Design original computational STEM problems simulating real scientific workflows.
• Create problems that require Python programming to solve.
• Ensure problems are computationally intensive and not solvable manually within days/weeks.
• Develop problems requiring non-trivial reasoning and creative problem-solving.
• Verify solutions using Python with standard libraries (NumPy, Pandas, SciPy, sklearn).
• Document problem statements clearly and provide verified correct answers.

Skills

Python

Machine Learning

English (C1+)

Education

Master's or PhD in STEM

Tools

NumPy

Pandas

SciPy

scikit-learn

Job description

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

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.

Although every project is unique, you might typically:

• Design original computational STEM problems that simulate real scientific workflows.
• Create problems that require Python programming to solve.
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
• Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.
• Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).
• Document problem statements clearly and provide verified correct answers.

• You hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.
• You have at least 5 years of Machine Learning experience with proven business impact.
• Strong programming skills in Python (numpy, pandas, scipy, sklearn).
• Solid understanding of numerical methods and computational algorithms.
• Research or industry experience involving computational problem-solving.
• Your level of English is advanced (C1) or above.

• 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.

Why this freelance opportunity might be a great fit for you?

• Get paid for your expertise, with rates that can goup to $55/hourdepending on your skills, experience, and project needs.
• 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.