Accounting Data Annotator - Remote

YO IT Consulting; Chennai District; Remote; INR 895,000 - 1,240,000; Full time

Job summary

YO IT Consulting is seeking accounting professionals for remote contractor roles to support AI training and validation. Responsibilities include creating prompts, grading AI outputs, and precise data entry from handwritten records.

Candidates with diplomas or degrees in accounting disciplines and strong Excel skills are encouraged to apply. The role emphasizes accuracy, documentation, and adherence to structured workflows, with preference for experience in manual or government-style ledgers.

Responsibilities

• Develop AI Training Content (Accounting + Records): Create clear prompts and high-quality reference answers based on real accounting workflows and recordkeeping (classification, reconciliations, voucher/ledger logic).
• Evaluate & Rank AI Responses: Review, compare, and score AI outputs for accuracy, completeness, and guideline compliance; provide concise written rationales grounded in accounting logic.
• Precise Data Annotation (Manual to Digital): Accurately extract and enter information from handwritten/physical records into structured digital formats, flagging unclear entries, inconsistencies, and edge cases.

Skills

Accounting fundamentals

Excel/Sheets

Analytical & detail-oriented

Process discipline

Data annotation and documentation

Education

Diploma or Bachelor’s in Accounting/Finance/Commerce

Tools

Accounting software (QuickBooks, Tally, Zoho Books, SAP/Oracle)

Job description

Job Type: Contractor
Location: Remote

Role Description

Are you ready to bring your accounting expertise into the world of AI? We are looking for accountants and accounting professionals (bookkeepers, accounting clerks, CPAs or equivalent) to support high-quality AI training and validation work involving accounting records, transaction logic, and administrative finance workflows. This role combines the opportunity to work with modern AI systems with the responsibility of ensuring accuracy, consistency, and clear documentation—making it a strong fit for people who are detail-oriented and process-driven. Candidates who have worked in government or institutional settings may be especially well-suited, as this work often reflects manual, ledger-based, voucher-heavy accounting and administrative systems.

Your Profile

• Academic/professional background: Diploma or Bachelor’s degree in Accounting, Finance, Commerce, Business Administration, or equivalent hands‑on experience.
• Accounting fundamentals: Strong understanding of bookkeeping, general ledger, AP/AR, reconciliations, and common accounting classifications (expense vs asset, payable vs paid, accrual vs cash timing).
• Institutional / government exposure (preferred): Experience with manual or semi‑manual accounting systems such as cash books, ledgers, voucher packets, approval chains, procurement/payment documentation, and registers (e.g., advances, fixed assets).
• Credentials (nice to have): CPA/CA/ACCA/CMA or local equivalent (or strong practical experience in lieu of certification).
• English proficiency: Comfortable reading detailed instructions and writing short explanations/notes in English for documentation and async collaboration.
• Analytical & detail-oriented: You notice mismatched totals, missing entries, inconsistent narrations, and documentation gaps—and you can explain what’s wrong clearly.
• Process discipline: Comfortable working with detailed guidelines, checklists, and structured workflows.
• Tools comfort: Strong Excel/Google Sheets skills; familiarity with accounting software/ERPs (e.g., QuickBooks, Tally, Zoho Books, SAP/Oracle) is a plus.

Key Responsibilities

• Develop AI Training Content (Accounting + Records): Create clear prompts and high‑quality reference answers based on real accounting workflows and recordkeeping (classification, reconciliations, voucher/ledger logic), including scenarios derived from handwritten or scanned source documents.
• Evaluate & Rank AI Responses: Review, compare, and score AI outputs for accuracy, completeness, and guideline compliance; provide concise written rationales grounded in accounting logic.
• Precise Data Annotation (Manual to Digital): Accurately extract and enter information from handwritten/physical records (historical ledgers, forms, hand‑filled logs) into structured digital formats, flagging unclear entries, inconsistencies, and edge cases.