Remote Accounting AI QA Analyst

OperationsArmy; Remote; ZAR 200 000 - 300 000; Full time

Job summary

A dynamic remote company is seeking an Accounting AI Analyst to support its AI operations team. This fully remote role involves reviewing AI-generated outputs and ensuring quality while labeling and tagging AI conversations. To succeed, candidates should have 1 to 3 years of experience in data entry or finance operations, strong analytical skills, and a motivation to thrive in a fast-paced environment.

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.

Responsibilities

• Label and tag AI conversations accurately using internal tools.
• Review and QA AI outputs related to financial data.
• Identify and escalate logic errors or inconsistencies.
• Document and report edge cases to support model training.
• Contribute to the development of efficient tagging workflows.
• Maintain quality and productivity to meet daily output goals.

Skills

data entry

finance operations

customer support

quality assurance

tagging/labeling

reading comprehension

written English communication

familiarity with accounting terms

reliability

self-motivation

organizational skills

Tools

Airtable

Google Sheets

AI Annotation Tools

Job description

A dynamic remote company is seeking an Accounting AI Analyst to support its AI operations team. This fully remote role involves reviewing AI-generated outputs and ensuring quality while labeling and tagging AI conversations. To succeed, candidates should have 1 to 3 years of experience in data entry or finance operations, strong analytical skills, and a motivation to thrive in a fast-paced environment.