Key Facts

Remote From:

Full time

Mid-level (2-5 years)

English

Hard Skills

Tag Management Data Entry Annotation Processing Productivity Improvement Annotation Processing Airtable Design Documentation Issue Management Reconciliation Contract Management Cash Application Accounts Receivable Accounting Financial Advising Online Communication Internal Communications Organizational Structure Process Management Remote Administration

Other Skills

•
Google Sheets
•
Quality Assurance
•
Customer Service
•
Quality Assurance
•
Reading Comprehension
•
Time Management
•
Detail Oriented
•
Reliability
•
Self-Motivation

Roles & Responsibilities

1 to 3 years of experience in data entry, finance operations, customer support, QA, or tagging/labeling roles
Strong reading comprehension and ability to follow detailed workflows and task instructions
Good written English communication skills for internal documentation and feedback
Familiarity with accounting/finance terms (e.g., invoices, cash applications, aging reports) is a plus

Requirements:

Label and tag AI conversations using internal tools such as LangSmith or other proprietary platforms
Review and QA AI outputs related to contracts, accounts receivable transactions, reconciliations, and similar data
Identify and escalate issues by flagging logic errors, inconsistencies, or unclear agent behavior to leads or relevant stakeholders
Document edge cases and contribute to workflow development to support model training and improvements

Job description

Job Title: Accounting AI Analyst
Schedule: Full-Time, 45 hours/week
Work Days: Monday to Friday
Work Hours: Staggered shifts between 8:00 AM to 8:00 PM EST
Work Setup: Fully Remote

Apply here: https://operationsarmy.com/application

About the Role

Were looking for highly detail-oriented Accounting AI Analyst to support our AI operations team. In this role, you will be responsible for labeling and reviewing AI-generated outputs, identifying inconsistencies, and helping improve overall model performance. This is a great opportunity for candidates with experience in data entry, finance operations, QA, or similar roles, who thrive in a structured, fast-paced, and fully remote environment.

Key Responsibilities

Label and Tag AI Conversations: Accurately annotate AI agent conversations using internal tools such as LangSmith or other proprietary platforms.
Review and QA AI Outputs: Analyze and correct AI-generated outputs related to contracts, accounts receivable transactions, reconciliations, and similar data.
Identify and Escalate Issues: Flag logic errors, inconsistencies, or unclear agent behavior, and escalate them to leads or relevant stakeholders.
Document and Report Edge Cases: Help document unique cases, recurring patterns, or workflow challenges to support model training and improvements.
Contribute to Workflow Development: Support the creation of efficient tagging workflows and quality assurance best practices.
Maintain Quality and Productivity: Meet or exceed daily output goals while ensuring consistent quality, accuracy, and attention to detail.

Qualifications

1 to 3 years of experience in data entry, finance operations, customer support, quality assurance, or tagging/labeling roles
Strong reading comprehension and ability to follow detailed workflows and task instructions
Good written English communication skills for internal documentation and feedback
Familiarity with accounting or finance terms (e.g., invoices, cash applications, aging reports) is a plus
Comfortable using tools such as Airtable, Google Sheets, and AI annotation platforms
Highly reliable, self-motivated, and organized
Ability to thrive in a fully remote and fast-paced team environment