All-access tasks on Mindrift: What are they and why do they pay less?

Mindrift as an open marketplace

Mindrift is an open marketplace, meaning contributors have access to tasks beyond their main domain, across different complexity levels and pay rates. 

The main reason we instituted this is to open up more opportunities for our contributors. Since Mindrift is a project-based platform, natural gaps between, before, and after projects are normal. Large-scale projects can’t, and don’t, run continuously — there’s an entire process going on behind the scenes before projects get off the ground. 

Rather than leaving contributors with nothing to do during these lulls, we opened up a broader pool of tasks so there's always something available. This helps our community maintain consistency and make a little bit of extra money when domain projects aren’t available. 

Two types of tasks, coexisting

You’ll find two types of tasks on the Mindrift platform: all-access and specialized. Let’s break them down. 

All-access tasks

These tasks are open to everyone and require no domain expertise, prior experience, or specific education. They tend to be simpler and quicker to complete, built around clear, self-contained actions you can start right away.

All-access covers a mix of two things: classic data annotation, such as labeling, tagging, or transcribing existing data, and simple AI-training work, like comparing or rating what an AI has produced. A few examples:

• Choosing between two AI-generated outputs, like picking which image, text, or video is better

• Labeling or tagging images like drawing a box around an object or choosing a category

• Transcribing short audio clips, or recording your voice reading a few phrases

• Checking whether a search result or product matches a query

• Flagging whether content is sensitive — a simple yes/no call

• Completing surveys, or testing an app and reporting what doesn't work

These projects are launched directly by our clients, companies that need data collected, labeled, or reviewed for their own purposes. What ties all-access tasks together isn't the type of tasks, but the level: low complexity, short duration, and no specialized knowledge needed to start.

TLDR: Lower pay reflects lower complexity and shorter tasks — not lower value.

Specialized tasks

These tasks are more complex than all-access tasks and require extensive domain knowledge. They’re not open to everyone and will only appear on your dashboard if you’ve qualified for that particular domain. So coding experts won’t see biology-related tasks and writers won’t see math-related tasks. 

Domain-level projects are the deep end of AI training. They usually require more extensive effort and include tasks like prompt writing, evaluation, refinement, and reasoning. They take real time, call for in-depth knowledge, and pay accordingly.

TLDR: Higher pay reflects higher complexity, more time and effort, and deep expertise. 

The choice is yours

Seeing a simpler task on your dashboard is just an option. If you’re not interested, you can simply scroll past them and focus on specialized tasks as they appear. There’s no penalty for not completing all-access tasks and it won’t impact your standing on the platform in any way. 

But if you’re looking to keep busy during slow periods and make some extra money, all-access tasks are a great option to try out. You’re still contributing to advancing next-gen AI models, just in a more granular way.