Skip to profile
AI Work PlatformsBETA
← Directory

micro1

AI training and evaluation projects in which domain experts create and review specialist datasets.

Domain expertiseCoding & technicalAI evaluation

Applying and requirements

Requirements

Official information

Candidates must be at least 18 to access or use micro1's platform.

Candidate Terms & Conditions, Eligibility and Age Requirement; not a complete project-qualification rule.

Some countries of residence are excluded

Official information

micro1 says it cannot hire residents of Afghanistan, Belarus, China, Cuba, DR Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russia, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine or Yemen.

Residence restrictions; travel permission and individual role requirements are separate.

Pay

Generalist and expert pay guidance

Advertised rate

micro1’s AI-training guide gives typical ranges of $15–$40/hour for general annotation, $20–$60/hour for prompt writing and evaluation, $50–$100/hour for domain review, and $100–$200+/hour for frontier expert projects.

Company guidance dated 14 May 2026. Rates vary by project and verification level; payment is in USD. Countries are not specified.

Location and access

Access to projects

Worker experiences

Selected public accounts. Experiences are self-reported.

Learning opportunities and available work

Undated

One contributor praised six months of data-evaluation work and the community. In another discussion, a contributor described substantial preparation followed by little work; a reply described an interesting, well-paid project with too few tasks.

Two discussions; dates unavailable. One contains a claim that positive reviews were encouraged; company replies are not counted as worker accounts.

Independent reporting

Sources

Summary sources and related names

Reviewed 2026-09-10.

  • 1. micro1.aiAccessed 2026-09-10
    Source notes

    Leverage your expertise to train next-generation AI models | micro1

  • 2. micro1.aiAccessed 2026-09-10
    Source notes

    Frontier evaluations and RL environments for AI Labs