You will evaluate AI-generated scenarios about military operations, armed conflict, defense planning, and operational decision-making. Your feedback will help improve the accuracy, realism, and reasoning of AI-generated content.
- Assess military capabilities, operational assumptions, and conflict analysis for accuracy and realism.
- Review civilian protection, operational constraints, and the application of international humanitarian law.
- Identify factual errors, flawed reasoning, and assumptions that do not reflect realistic defense conditions.
- Provide clear, structured written feedback on complex scenarios.
What it pays and takes
This is a part-time contractor role for candidates with professional experience in defense analysis, military operations, conflict analysis, or national security research.
- Pay: $40 to $80 per hour.
- Work type: Part-time contractor.
- Location: Open to candidates in the countries listed for this role across North America, South America, Europe, Asia, Africa, and the Middle East.
- Language: Professional fluency in English.
- Experience level: Entry level.
- Required background: Defense research, military capabilities assessment, conflict analysis, or operational planning.
- Required skills: Strong knowledge of military operations, armed conflict, and defense-related decision-making, plus clear written communication.
- Helpful background: Experience with defense organizations, government agencies, research institutes, think tanks, or international organizations.
- Helpful knowledge: International humanitarian law, Rules of Engagement, or civilian protection.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that learn from examples, including reviewing and rating model responses and checking complex scenarios. OpenTrain is a platform where people find AI training roles, build a profile, and apply to projects that match their skills. Experienced reviewers are needed because accurate feedback helps make AI outputs more reliable and realistic.