Generalist U.S. Tax Workflow Evaluation Specialist

You will review U.S. tax filing workflows and related financial processes used in AI training. You will compare system-generated outputs with tax documents and realistic filing scenarios, then assess accuracy, completeness, and user experience.

The work includes document annotation, rubric-based evaluation, written and verbal feedback, and asynchronous updates on assigned deliverables. Some reviews may require relevant financial accounts, Gmail, and Google Drive, with personal information removed from tax documents before use.

• Review and annotate U.S. tax filing workflows and related financial processes.
• Compare system-generated outputs with tax documents and realistic filing scenarios.
• Apply defined evaluation criteria consistently and objectively.
• Provide clear written and verbal feedback on your findings.
• Collaborate asynchronously and provide timely updates on assigned deliverables.

This is a remote contractor project with asynchronous collaboration. Prior AI training experience is not required, although experience with data annotation, quality review, rubric-based assessment, or model evaluation is helpful.

• Pay: $30 to $110 per hour.
• Work setting: Remote contractor project.
• Schedule: Asynchronous collaboration; no fixed weekly hours are provided.
• Location: Open to candidates who reside in a mainland U.S. state.
• Tax experience: Financial literacy and hands-on experience filing 2025 U.S. taxes independently or with a CPA or other tax professional.
• Review skills: Strong attention to detail and the ability to annotate documents consistently.
• Evaluation skills: Ability to apply defined rubrics and evaluation criteria objectively.
• Communication: Clear written and verbal communication skills, with professional fluency in English.
• Tools: Familiarity with Google Workspace, including Docs, Sheets, and Drive.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is work people do to prepare and assess examples used to improve AI systems. People with tax expertise are paid to judge whether system outputs are accurate, complete, and useful.