Business Operations Expert for AI Task Design

You will support AI training focused on business operations task design. The work uses spreadsheets, system exports, process documents, and operational reports to help AI systems learn from structured human expertise.

You will review source materials and model outputs, apply project guidelines, and explain your decisions clearly. Consistent, evidence-based feedback helps improve model behavior across repeated review tasks.

• Evaluate AI model outputs against project rubrics.
• Review source materials, spreadsheets, system exports, process documents, and operational reports.
• Document evidence-based judgments and explain your reasoning clearly.
• Maintain consistent quality across repeated evaluation tasks.

This role is listed as entry level, with a strong focus on practical business operations knowledge. Each benchmark task is expected to take about 10 hours.

• Pay: $45 to $90 per hour.
• Estimated project earnings: $3,600 to $10,800 based on the stated schedule and project duration.
• Schedule: Fully remote, flexible scheduling, and less than 20 hours per week.
• Location: Open to candidates in the listed countries across North America, South America, Europe, Asia, Africa, and the Middle East.
• Experience: 5 or more years of hands-on responsibility in business operations, operations reporting, process design, or workflow management.
• Relevant experience includes creating or applying SOPs, quality checklists, process documentation, service level definitions, or training assessments.
• Skills: Strong Excel ability and comfort reasoning across multiple documents at once.
• Language: Strong written and spoken English at B2 minimum; C1 is preferred.

OpenTrain is where candidates find this AI training role and start their application. Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that learn from examples, including reviewing model responses and rating their quality. People with strong subject knowledge are paid to apply careful judgment, explain decisions, and help make AI outputs more useful and reliable.