Hey thanks for considering contributing to ML Collective! If you identify as an experienced researcher — e.g. you have published ML papers, you are familiar with how research is done, you've had research trainings from academia or industry, etc., there are plenty you can do to share your experience, give back to the community, and find likeminded people that you'd have fun chatting once in a while. We provide a few ways to get started to be involved with MLC.
It might be worth thinking beforehand how much time you can commit to giving to MLC. It could be any number of hours per week/month/quarter/year, and no one would explicitly hold you accountable to it, but it would just be a useful thing to think through before you make the commitment, and it should be the biggest determinant of what types of commitment you'd want to make. It also doesn't have to be a constant across time, something like "a linear curve from 2 hours to 10 hours per week from T-2 months to the submission deadline," or "a step function at T-1 week to the deadline." The key is, you might want to think through that yourself.
A key divider here is whether you are in for a long-term or semi-long-term involvement, or you are looking for a one-off involvement. There are great things you can do in either. You can also use the latter to figure out if the former is right for you.