Practitioner Expert

About the Job

Employment Type:

Remote Part-Time.

Location:

Remote within the US.

Compensation: USD 5,000–8,000 per month.

Support a variety of AI and operations projects as a generalist by working on data, content, and light research tasks in a fully remote role. Review and organise information, complete structured tasks, and provide feedback to help improve tools, workflows, and AI systems, with flexible hours suited to detail-focused, adaptable talent.

• Assist with generalist project tasks such as data entry and validation, basic content review, online research, light analysis, AI-output review, documentation, and coordination
• Organise and update datasets, trackers, and project information using simple digital tools with a high level of accuracy and attention to detail
• Track task progress and communicate clearly with team members via email/chat, providing timely updates on status and any issues

• Strong English skills and clear, professional written communication
• Comfort with spreadsheets, email, and basic online or productivity tools
• Excellent attention to detail, with an analytical mindset and high accuracy
• Independent worker who can manage time, prioritise tasks, and thrive in a remote environment

• 100% remote flexibility within the country
• Weekly secure payments and a clear pay structure
• Opportunities to build skills in AI data work, content operations, research, and generalist project support with fast onboarding

You must be legally authorised to work in your country of residence. We hire based on qualifications and business needs. Applicants from all backgrounds are welcome.

Apply now — join our team today!

Outlier is an AI training platform owned and operated by Scale AI that connects a global community of subject‑matter experts with leading AI companies to improve the intelligence, reliability, and safety of advanced models. Scale AI provides the underlying data infrastructure, annotation services, and evaluation tools that power Outlier, enabling organizations to build and refine AI systems across domains such as autonomous vehicles, robotics, and language technologies.

eQuest