Remote Finance Automation Intern — AI-Driven Processes

Soda Data

United States

Remote

USD 16,000 - 23,000

Full time

14 days+
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Benefits offered by this job

Fully remote
Flexible hours
Path to permanent role
Tokens for frontier models

Job summary

Soda Data is seeking a Finance & AI Automation Intern to run core finance processes and automate the manual work across three entities and two currencies. You’ll use Claude, ChatGPT, GitHub, and smart spreadsheet designs to build reliable checks and automate workflows.

The role emphasizes accuracy, ownership from week one, and a hands-on approach to learning processes before automating them. Fully remote with potential hybrid options.

Qualifications

  • Finance, accounting, economics, or related degree.
  • Experience building automations or scripts using AI tools.
  • Ability to verify outputs with checks and reconciliations.
  • Proactive approach to identifying manual work and automating it.
  • Fluent written and spoken English in a remote-friendly environment.

Responsibilities

  • Run core finance processes: invoicing, month-end reporting, payroll data prep, expense management, intercompany recharges.
  • Automate processes using Claude, ChatGPT, GitHub, or spreadsheet design where appropriate.
  • Build robust checks and reconciliations to ensure accuracy.
  • Document processes so both humans and AI agents can follow.
  • Support reporting, analysis, and projects across entities in Belgium/US.

Skills

Finance background
Automation mindset
Problem solving
Independent with new tools
Proactive
Fluent English

Education

Finance/Accounting/Economics degree

Tools

Python
SQL
APIs/Automation
GitHub MCP

Job description

Soda Data is seeking a Finance & AI Automation Intern to run core finance processes and automate the manual work across three entities and two currencies. You’ll use Claude, ChatGPT, GitHub, and smart spreadsheet designs to build reliable checks and automate workflows.

The role emphasizes accuracy, ownership from week one, and a hands-on approach to learning processes before automating them. Fully remote with potential hybrid options.

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