
Outlier AI is a Scale AI-operated platform that pays freelance subject-matter experts to provide human feedback (prompts, rubrics, rankings, and evaluations) that improves and safeguards LLM performance.
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Outlier AIOutlier AI is a remote work platform (operated by Scale AI) that connects subject-matter experts with leading AI companies and research labs to provide human feedback that improves large language models (LLMs). The company positions contributors as “AI trainers” who review, refine, and improve model outputs across domains like coding, STEM, languages, and other specialized fields. Contributors on Outlier complete tasks such as writing challenging prompts, creating grading rubrics, and rating/ranking AI answers. The platform emphasizes flexibility (work anywhere/anytime with no minimum hours), a selective screening process, and weekly payments. Outlier also highlights community and support mechanisms such as community channels, quality management (QM) support, webinars, and office hours. Outlier presents itself as focused on making AI smarter, safer, and more reliable while creating accessible opportunities for experts. It is “powered by Scale AI,” leveraging Scale’s data infrastructure and anomaly detection, and promotes values including people-first development, high-quality data, and seriousness about safety with collaboration alongside policymakers and researchers.
HC score
verified business cases


A named Outlier community initiative referenced in blog content, including community engagement and at least one $20,000 grand prize raffle.
Community engagement
Incentive programs
Experts build grading rubrics and complete assessment tasks used to judge AI output quality and consistency across projects.
Rubric Design
Quality Standards
Consistency Checks
Experts evaluate AI outputs by rating and ranking answers, improving model responses, and completing other tasks that enhance AI performance.
Answer Ranking
Response Improvement
LLM Feedback
A remote work platform that matches vetted freelance experts to AI training and evaluation projects (e.g., prompt creation, rubrics, rating/ranking outputs, improving model responses) for leading AI companies and research labs.
Remote work
Flexible schedule
Weekly payments
A remote platform where vetted experts work as independent contractors to train and evaluate AI models by completing project tasks and providing specialized human feedback to improve LLM quality and safety.
Remote Work
Flexible Schedule
Weekly Payments
A contributor experience focused on choice and project selection, referenced as the Outlier Marketplace in company content, enabling experts to participate in available projects matched to their skills.
Project matching
Contributor choice
Remote tasking
Experts create challenging prompts and correct answers to teach and improve AI accuracy, including difficult problem/answer pairs that stress-test model behavior.
Prompt Creation
Domain Expertise
Quality Rewards

Ali
Ali looked for a remote side job that could fit around other commitments. Traditional options did not align well with scheduling needs. The main challenge was finding flexible, project-based work that could be done remotely. Ali found project-based remote AI work that could be scheduled around existing responsibilities. The work depended on being assigned to a strong project. This structure allowed the role to function as a side job rather than a fixed-hour position. With a strong project assignment, Ali reported it was possible to earn upward of $1,000 per week. The outcome highlighted weekly earning potential tied directly to project assignment. The result focused on the flexibility and earnings potential of the project-based setup.
Skills
Project Details

Justin
Justin was initially skeptical about joining the platform and needed flexible supplemental income while juggling two jobs and raising two teenagers. He looked for a way to fill income gaps without disrupting his existing responsibilities. He also wanted support for financial goals and personal spending. He joined the platform and began completing tasks as a flexible, fill-in-the-gaps income source. He contributed consistently while maintaining his two jobs and managing family commitments. Over time, he stayed active on the platform for just over a year. After contributing for just over a year, he won Aether’s grand prize raffle. He used the work to support financial goals and personal spending. The experience demonstrated the value of flexible supplemental income alongside a major raffle award.
Skills
Project Details
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