About The Role
AI is only as good as the humans behind it — and that's where you come in. We're hiring AI Data Quality Analysts to review, evaluate, and rate AI-generated outputs across text, images, and structured data. Your feedback directly influences how AI models learn, improve, and respond to real-world users.
This is a fully remote, flexible contract role that fits around your schedule. No AI or technical background required — just sharp attention to detail and strong analytical thinking.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review AI-generated responses across text, image, and structured data formats for accuracy, relevance, and quality
- Rate outputs using clear rubrics and structured evaluation guidelines
- Identify factual errors, inconsistencies, and areas where AI responses fall short
- Write clear, actionable feedback to help guide model improvement
- Work across a diverse range of topics and content types
- Complete assignments independently on your own schedule
Who You Are
- Sharp eye for detail with strong analytical and critical thinking skills
- Confident reading and evaluating written content across a variety of subjects
- Able to follow structured guidelines accurately and consistently
- Clear, concise written communicator in English
- Self-motivated and reliable — comfortable working independently
- No prior AI or technical experience required
Nice to Have
- Experience in editing, research, fact-checking, or quality assurance
- Familiarity with AI tools or content evaluation workflows
- Background in writing, journalism, data, or a related field
Why Join Us
- Work on cutting-edge AI — contribute to projects with leading AI research labs shaping the next generation of intelligent systems
- Fully remote and flexible — work from anywhere, on a schedule that suits you
- Meaningful impact — your evaluations directly improve how AI behaves for millions of users
- Freelance autonomy — enjoy the independence of contract work with the backing of an established platform
- Variety — no two assignments are the same; work across diverse topics and content types
- Potential for ongoing work — strong performers are considered for extended contracts and new project opportunities
