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
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