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Accounting AI Analyst | South Africa | Remote
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Accounting AI Analyst | South Africa | Remote
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Accounting AI Analyst | South Africa | Remote
Job summary
A leading remote technology company in South Africa seeks an Accounting AI Analyst to support AI operations. This role involves labeling AI outputs and ensuring quality across various data operations. Candidates should have experience in data entry or finance, excellent communication skills, and familiarity with accounting terminology. The position is fully remote, offering a structured and detail-oriented work 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 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
- Accurately annotate AI agent conversations using internal tools.
- Analyze and correct AI-generated outputs related to contracts and transactions.
- Flag logic errors and escalate them to leads.
- Document unique cases and recurring patterns.
- Support the creation of efficient tagging workflows.
- Meet or exceed daily output goals while ensuring quality.
Skills
Tools
About the job Accounting AI Analyst | South Africa | Remote
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
Tools & Software
- Airtable
- Google Sheets
- AI Annotation Tools (e.g., LangSmith or similar proprietary platforms)
Apply here: https://operationsarmy.com/application
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.