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Updated Oct 28, 2026
The right alternative depends on what you already know how to do. Here is where to go instead of DataAnnotation, by background.
Best for
Outlier. Coding and writing tasks, with the widest country eligibility. Screening: written assessment, sometimes a short coding test.
The catch: Queue instability is the most common complaint — work appears and disappears.
Best for
Braintrust. Experts who want task-based AI work rather than waiting on a project match. Screening: profile, then an AI skills interview, then you browse and accept tasks.
The catch: The AI-training work sits inside a general freelance marketplace, so expert tasks share the site with ordinary contract listings, and the bottom of the pay band is annotation work rather than expert work.
Best for
micro1. Software engineers, especially with competitive-programming experience. Screening: aI interview plus a technical assessment.
The catch: Engineering-focused, so there is little here for non-technical fields.
Best for
Mercor. Credentialed experts — MDs, JDs, PhDs, senior engineers, finance professionals. Screening: recorded AI interview, 15–30 minutes, after a CV upload.
The catch: The hardest screen of any of them, and being accepted does not mean work is waiting.
Some links here are referral links, which pay this site if you are hired. The order above is by fit for each background, not by which ones pay us.
From the live board
Before choosing a platform, check whether your field has open work. These are today's open roles by field across the platforms we track.
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FAQ
It depends on your background, not on the platform. Outlier suits generalists in countries DataAnnotation does not accept. Braintrust suits people who want task-based work with a shorter screen. micro1 suits software engineers. Mercor suits anyone with a professional credential.
Yes. Most experienced contributors run two or three platforms, because acceptance on one does not guarantee work. The only limit is a conflict of interest on a specific project, which the platform will flag.
Platforms rarely say. The most common reasons are a rushed assessment, a CV that does not make the specialty obvious, or a country the project does not accept. Rejection on one platform says nothing about another.
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