Remote AI Content Quality Analyst - Flexible Contract

Alignerr Corp.; Polska; Remote; PLN 65,000 - 108,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Meaningful work

AI research collaboration

Diverse topics

Contract opportunities

Job summary

Alignerr is seeking detail-oriented individuals to evaluate AI-generated content across text, images, and structured data. Your ratings and feedback will shape how AI models learn, respond, and improve.

This is a fully remote, flexible hourly contract role that fits around your life, and no AI background is required to get started. You will review responses, rate quality with clear rubrics, identify errors, and write actionable feedback to guide model improvements.

Qualifications

• Strong eye for detail and a methodical, analytical mindset.
• Comfortable reading, evaluating, and critiquing written content.
• Self-motivated and able to manage your time independently.
• Clear and concise written communicator in English.
• No prior AI or technical experience required – training and guidelines provided.

Responsibilities

• Review AI-generated responses across text, image, and structured data formats for factual accuracy and relevance.
• Rate content quality using rubrics and guidelines.
• Identify errors, inconsistencies, and areas where AI outputs fall short.
• Write clear, actionable feedback that helps guide model improvement.
• Work across a variety of topics and content types — no two tasks are the same.

Skills

Attention to detail

Analytical mindset

Reading and evaluating content

Written English communication

Time management

Job description

Alignerr is seeking detail-oriented individuals to evaluate AI-generated content across text, images, and structured data. Your ratings and feedback will shape how AI models learn, respond, and improve.

This is a fully remote, flexible hourly contract role that fits around your life, and no AI background is required to get started. You will review responses, rate quality with clear rubrics, identify errors, and write actionable feedback to guide model improvements.