I’m sure many folks have occasionally daydreamed about getting paid to use iNat. Well, if so, (maybe) your dream has come true? I came across this job posting this morning:
https://www.researchgate.net/job/1013726_Ecologists_Naturalists_and_Taxonomic_Experts-Remote_Job
which sounds very much like doing iNat IDing.
To be clear, I am not affiliated with this job, am not promoting it, and have no real knowledge of the company or what they do. I just thought it was interesting that iNat type IDing might be a marketable skill.
For instance, I could imagine someone using their iNat profile as a primary qualification for this.
Some key excerpts from the job that made it sound like iNat IDing:
"Can you identify birds, bats or frogs from acoustic data?
Or can you identify plants, mammals and insects found from high-resolution images?
Do you enjoy sharing your expertise and improving the way the world measures biodiversity?"
Yep, sounds like an iNat IDer. In fact, their profiles of employees include at least one self-identified iNat IDer.
This is a paid role that you can do online, from anywhere, at any time. The role involves adding species labels to the audio or image files to name the species present. Your expertise will help us protect nature by providing robust evidence.
Together, we will build the most detailed set of annotated, species-level biodiversity data ever compiled.
Overall process sounds very much like iNat
The company also claims to have
the richest ever database of accurate biodiversity data
Which seems like it might be typical Silicon Valley-ish hyperbole.
I have no idea how the actual experience of doing what they primarily call “annotating” compares to iNat, but it seems like it might be a similar “workflow.”
The biggest difference to me seems to be that the iNat process is open-source, transparent, and volunteer-based. Anyone can contribute to and use iNat data which makes it an outstanding resource.
The work here seems to accept data from unspecified sources, be closed (ie, the finished data arenot available to anyone else), all data is processed by machine-learning routines before annotators interact with it, and tied to explicitly monetized outcomes, such as:
regulatory disclosures and to guide actions, but we can also link evidence to a variety of financial mechanisms – such as sustainability-linked bonds and biodiversity credits – enabling money to flow to those projects and activities that create the most positive change.
which, of course, since they are a company looking to make a profit.
Do other forum users have any thoughts? Has anyone else worked in a similar situation? How do folks feel about the implications of work like this regardless of whether they have/haven’t done it?