Remote Finance Ops Coordinator for AI Training Data

mercor; United States; Remote; USD 55,000 - 83,000; Part time

Job summary

Mercor is seeking a Finance Program Coordinator — AI Training Data Operations for a remote contract role. The position requires reliable availability of at least 35 hours per week on weekdays and involves coordinating finance-domain raters within the broader AI training data program.

You will design workflows, monitor rater throughput and quality, and collaborate with subject matter experts to ensure consistency and accuracy across finance training data.

Qualifications

• 5–10 years of professional experience in finance or finance operations.
• Experience coordinating cross-functional teams or projects.
• Direct experience managing or coordinating a team of contributors/reviewers.
• Ability to engage reliably for at least 35 hours/week during weekdays.
• Strong verbal and written communication skills, organizational skills, and problem-solving skills.

Responsibilities

• Guide day-to-day coordination between finance-domain raters and the broader training-data program to close execution gaps and keep work on schedule.
• Design and maintain task-tracking, escalation, and quality-check workflows specific to finance evaluation tasks.
• Evaluate rater throughput and quality signals on finance tasks and provide clear, written status updates and feedback.
• Triage and resolve finance-specific rater questions, escalating ambiguous cases to subject matter experts.
• Collaborate with subject matter experts and program leads to ensure consistency and accuracy across finance training data.

Skills

Cross-functional coordination

Communication

Organizational skills

Problem-solving

Job description

Mercor is seeking a Finance Program Coordinator — AI Training Data Operations for a remote contract role. The position requires reliable availability of at least 35 hours per week on weekdays and involves coordinating finance-domain raters within the broader AI training data program.

You will design workflows, monitor rater throughput and quality, and collaborate with subject matter experts to ensure consistency and accuracy across finance training data.