Federal Management & Program Analyst

You will help evaluate AI systems on federal program management and policy analysis. The work turns real agency planning and reporting practices into realistic scenarios, reference answers, and feedback that reflect how federal teams operate.

You will work asynchronously and help keep project materials clear and consistent.

• Create realistic federal management, program, and policy scenarios based on agency workflows.
• Write reference answers and supporting documentation for AI training.
• Review other contributors’ scenarios and deliverables, then provide precise feedback.
• Check materials against federal planning, evaluation, and reporting practices.
• Use experience with decision memos, executive briefings, program evaluations, and after-action reports.

What it pays and takes

This is a part-time contractor role for a US-based contributor.

• Pay: $60 to $80 per hour.
• Location: Open to candidates in the United States.
• Language: Fluent in English, with strong written and verbal communication.
• Required: Current or prior experience in federal program, policy, or operational planning.
• Required: Ability to write decision memos, program evaluations, executive briefings, or after-action reports for senior leaders.
• Required: Careful attention to detail and in-depth knowledge of federal government processes.
• Useful background: Performance measurement, program evaluation, strategic planning, headquarters functions, program offices, or federal planning staff.
• Comparable experience: OPM GS-0343, GS-0301, or equivalent roles.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.

About AI training work

AI training is the human work behind systems that generate and evaluate text. People with experience in fields such as federal policy and program management help create realistic examples and judge whether an AI response follows professional standards.