Remote Document Annotation Specialist - AI Training

Alignerr Corp.; Spain; Remote; EUR 17,000 - 30,000; Part time

Job summary

Alignerr is seeking a Document Review Specialist for AI training to read, annotate, and classify a variety of documents, helping AI models learn to interpret text. This fully remote hourly contract role requires strong reading comprehension and a methodical approach, with flexible 10–40 hours per week and no prior AI experience needed.

You will work independently, following structured guidelines to ensure accuracy across large volumes, contributing to ongoing projects and potential extensions as

Qualifications

• Strong reading comprehension and ability to process diverse document types.
• Detail-oriented with a systematic, consistent approach to tasks.
• Comfortable following structured guidelines and applying them at scale.

Responsibilities

• Read and annotate a diverse range of documents — including articles, reports, contracts, and forms
• Classify document sections, extract key information, and label important data points
• Identify and tag entities, dates, relationships, and other meaningful elements within text
• Apply structured annotation guidelines with precision and consistency
• Maintain a high standard of accuracy across large volumes of documents
• Work independently and asynchronously on your own schedule

Skills

Reading comprehension

Detail-oriented

Self-motivated

Independent work

Following guidelines

Tools

Annotation tools

Quality assurance workflows

Job description

Alignerr is seeking a Document Review Specialist for AI training to read, annotate, and classify a variety of documents, helping AI models learn to interpret text. This fully remote hourly contract role requires strong reading comprehension and a methodical approach, with flexible 10–40 hours per week and no prior AI experience needed.

You will work independently, following structured guidelines to ensure accuracy across large volumes, contributing to ongoing projects and potential extensions as