Not really; you'd probably take the Folding@Home approach† to work distribution: assign each small piece as a job to N non-trustworthy "workers" (humans, computers), and then trust the results if all N results concur. If they don't, fail the job back into the work queue to be tried again later with different workers. (And maybe give the workers a reputation score, kicking out the ones who participate in enough failed jobs.)

† does this general strategy have a name?

Not if done correctly. See this as an excellent example: https://www.zooniverse.org/projects/zooniverse/snapshot-sere...

iNaturalist.org does this for finding plants and animals but to be honest, I don't know how they deal with bad data. They even have schoolkids submitting data during class. So, kind of adversarial data collectors!