Finance AI Training Data Ops Coordinator

SaidGig; New York (NY); On-site; USD 55,000 - 83,000; Full time

Job summary

SaidGig is seeking a finance-focused training data operations coordinator to organize and supervise finance evaluation tasks for generative AI model development. You will align rater teams with program priorities and ensure high-quality, consistent outputs.

This role involves coordinating finance-domain raters, maintaining workflows, and providing updates to program leads. Based in the United States with weekday availability and an hourly W-2 arrangement.

Qualifications

• 5 to 10 years of professional experience in finance or finance operations.
• Experience coordinating contributors or reviewers against deadlines and quality standards.
• Strong verbal and written communication, organization, and problem-solving skills.

Responsibilities

• Coordinate day-to-day work between finance-domain raters and the broader training-data program, addressing execution gaps and keeping deliverables on schedule.
• Create and maintain task-tracking, escalation, and quality-control workflows for finance evaluation tasks.
• Assess rater throughput and quality signals for finance tasks, then provide clear written status updates and feedback.
• Address finance-specific rater questions and escalate ambiguous cases to subject matter experts.
• Partner with subject matter experts and program leads to maintain consistency and accuracy across finance training data.

Skills

Finance operations

Cross-functional coordination

Rater/reviewer management

Career progression

Verbal and written communication

Organization and problem solving

Job description

SaidGig is seeking a finance-focused training data operations coordinator to organize and supervise finance evaluation tasks for generative AI model development. You will align rater teams with program priorities and ensure high-quality, consistent outputs.

This role involves coordinating finance-domain raters, maintaining workflows, and providing updates to program leads. Based in the United States with weekday availability and an hourly W-2 arrangement.