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Postes à Monterrey, Mexique

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Accounting AI Analyst | Mexico | Remote
OperationsArmy
Ciudad de México
À distance
MXN 550 000 - 918 000
Plein temps
Il y a 30+ jours

Résumé du poste

A technology operations company is looking for a detail-oriented Accounting AI Analyst to support their AI operations team. The candidate will be responsible for reviewing AI-generated outputs, labeling AI conversations, and improving model performance. Ideal for those with experience in data entry or finance operations, this role is fully remote and requires good written English skills. Join a structured and fast-paced environment that values reliability and organization.

Qualifications

  • 1 to 3 years of experience in data entry, finance operations, customer support or quality assurance.
  • Strong reading comprehension and ability to follow detailed workflows.
  • Good written English communication skills for internal documentation.
  • Familiarity with accounting or finance terms is a plus.
  • Comfortable using tools such as Airtable and Google Sheets.

Responsabilités

  • Label and tag AI agent conversations accurately.
  • Review and QA AI-generated outputs related to transactions.
  • Identify and escalate logic errors or inconsistencies.
  • Document and report unique cases or patterns.
  • Contribute to the development of tagging workflows.
  • Maintain quality and productivity by meeting daily output goals.

Connaissances

Data entry
Finance operations
Customer support
Quality assurance
Tagging/labeling
Reading comprehension
Written English communication
Reliability
Self-motivation
Organizational skills

Outils

Airtable
Google Sheets
AI Annotation Tools
Description du poste
About the job Accounting AI Analyst | Mexico | 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

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)
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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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