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Finance Excel Specialist

Micro1 Remote Posted 57 days ago

Education

Any

Type

Pay Rate

$80/task

Posted

57d ago

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About this Role

Job Title: Finance Excel Specialist Job Type: Contract Location: Remote Job Summary Join our customer’s team as a Finance Excel Specialist, applying your spreadsheet expertise at the intersection of finance and cutting-edge technology. In this impactful role, you’ll review, validate, and enhance Excel-based outputs generated by advanced large language models (LLMs), ensuring accuracy, clarity, and reliability for real-world finance and accounting scenarios. Key Responsibilities Evaluate and review Excel and spreadsheet outputs created by LLMs for finance/accounting applications. Validate the correctness of formulas, calculations, structural logic, and embedded assumptions within spreadsheets. Identify and flag errors, inconsistencies, or unclear methodologies, delivering precise, actionable feedback. Ensure all spreadsheets are well-organized: clear tab structures, accurate labels, professional formatting, and thorough documentation. Complete assigned review tasks within 24 hours of receipt, maintaining quality and efficiency. Communicate findings effectively in both written and verbal form, supporting quality improvement efforts. Collaborate closely with project coordinators to help shape best practices for LLM-powered spreadsheet outputs. Required Skills and Qualifications Bachelor’s degree (completed) in Finance, Accounting, Economics, Business, or a closely related field. Exceptional proficiency with Microsoft Excel, including formulas, formatting, and data organization. Excel installed and functional on your computer (required for task completion). Outstanding attention to detail with the ability to quickly and accurately review technical spreadsheet outputs. Demonstrated ability to communicate complex findings clearly, both in writing and verbally. Reliable commitment to complete assignments within tight 24-hour turnaround windows. Experience reviewing, auditing, or validating financial work products in a fast-paced environment. Preferred Qualifications Hands-on experience in financial modeling, budgeting/forecasting, analytics, or audit/reconciliation. Proven skill in detecting common spreadsheet issues such as broken links, hardcoded values, formula errors, or version control problems. Familiarity with emerging technologies in finance or experience working alongside data science or AI teams.

Requirements

  • Must be eligible to work in Remote
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Finance

Compensation Analysis

Work from anywhere, at any time. This fully remote position ($80/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.

Skills & Categories

Explore other opportunities in related specializations:

Finance Expert

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Frequently Asked Questions

How is this different from the others?

Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.

What is the catch?

Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.

Is this traditional consulting?

Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.

Why is the pay so high?

This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.

What is the workload like?

This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.

What is the interview like?

You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.