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Finance Program Coordinator, AI Training Data Operations

SaidGigUnited States🇺🇸United StatesPosted Oct 6, 2026

Quick Overview

Salary
$40 - $60/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
12 hours ago

Job Description

Role Overview
Coordinate finance-focused training data operations that support the development of advanced generative AI models. You will bring structure to finance evaluation work, align rater teams with program priorities, and help maintain accurate, consistent, high-quality outputs.

Key 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. Qualifications
5 to 10 years of professional experience in finance or finance operations, including experience coordinating cross-functional teams or projects. Experience managing or coordinating contributors or reviewers, such as raters or analysts, against deadlines and quality standards. Demonstrated career progression, such as Analyst to Senior Analyst to Program or Project Coordinator. Strong verbal and written communication, organization, and problem-solving skills.

Work Terms
United States based, hourly W-2 employment. Placement on an AI lab team as part of its extended workforce. Reliable weekday availability of at least 35 hours per week is required. Compensation
$40 to $60 per hour.

Equal Opportunity
Employment decisions are made without regard to race, religion, color, national origin, sex, including pregnancy, childbirth, reproductive health decisions, related medical conditions, sexual orientation, gender identity, gender expression, age, protected veteran status, disability, genetic information, political views or activity, or any other legally protected characteristic.

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