MTurk can be a great way to minimize the costs and time required for each stage of ML development. It is easy to collect and annotate the massive amounts of data required for training machine learning (ML) models with MTurk. Building an efficient machine learning model also requires continuous iterations and corrections. Another usage of MTurk for ML development is human-in-the-loop (HITL), where human feedback is used to help validate and retrain your model. An example is drawing bounding boxes to build high-quality datasets for computer vision models, where the task might be too ambiguous for a purely mechanical solution and too vast for even a large team of human experts.
One thing I do is have websites that are set up in lower competition niches where the items typically aren’t as expensive and where it’s easier to sell these products in larger quantities ($50 or less). Then I have other niche sites that sell more expensive products at much higher prices ($XXX – $X,XXX) that are sold less frequently. So this way I get to use the increased quantity of sales from these lower priced product websites to help me get up into higher payout brackets so instead of making 6% on that high end item I’ll get 8% instead.
Again, if your blog has a large reader base, then businesses may be interested in paying you to review their services or products. Not only will you get a free trial using whatever these businesses are selling, you will also get a fee for writing them a review and posting it to your site. Paid reviews (and other paid and sponsored content) can be big money, so advertise this service on your contact page to generate business.