AI Work Central

Accountant

SME CareersFinanceFirst seen 9 Oct 2026

up to$65/hr as listed by SME Careers, USDEstimate a week at this rate
Apply on SME Careers

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Where
39 countries

United States, Germany, Brazil, India, Bangladesh, Bhutan, Indonesia, Cambodia, Sri Lanka, Malaysia, Nepal, Philippines, Pakistan, Singapore, Thailand, Timor Leste, Vietnam, Austria, Belgium, Switzerland, Denmark, Spain, Finland, France, United Kingdom, Gibraltar, Greece, Ireland, Iceland, Italy, Liechtenstein, Luxembourg, Monaco, Malta, Netherlands, Norway, Portugal, Sweden, San Marino

Language
English
Type
Contract, remote
Field
Finance

Posted on SME Careers First seen 9 Oct 2026Checked 12 Oct 2026

From the SME Careers listing

In this hourly, remote contractor role, you will work as an Accounting Subject Matter Expert (SME) to review AI-generated accounting and finance responses and/or create expert accounting content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, completeness, and adherence to the prompt; identify errors in bookkeeping logic, journal entries, accruals, reconciliations, financial statement presentation, and controls; fact-check technical accounting claims; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs.

Important:

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Responsibilities

  • Develop AI Training Content: Create detailed prompts and gold-standard accounting outputs (journal entries, explanations, close checklists, reconciliations logic, scenario analyses).
  • Optimize AI Performance: Evaluate and rank AI responses to improve correctness, clarity, and adherence to GAAP/IFRS and best practices.
  • Ensure Model Integrity: Test AI outputs for inaccuracies, misleading guidance, unsafe assumptions, and bias; validate reliability across business scenarios.

Requirements

  • Bachelor’s degree (or higher) in Accounting, Finance, or a related field; CPA/ACCA/CMA (or local equivalent) is a strong plus.
  • 5+ years of professional experience in accounting (public accounting, industry, shared services, or advisory).
  • Strong command of core accounting areas: revenue/expense recognition, accruals, prepaid/deferred items, fixed assets, inventory basics, payroll basics, and taxes awareness.
  • Proven ability to prepare and review journal entries, account reconciliations, and month-end close deliverables with attention to auditability.
  • Solid understanding of financial statements (P&L, balance sheet, cash flow) and common classification/presentation issues.
  • Familiarity with internal controls concepts (segregation of duties, approvals, documentation standards) and audit readiness.
  • Comfortable evaluating answers for internal consistency (sign conventions, debits/credits, timing, cut-off, supporting schedules) and business realism.
  • Minimum C1 English proficiency with the ability to write clear, structured explanations and follow detailed guidelines.
  • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
  • Prior experience with AI data training/annotation, accounting QA, audit review, or technical accounting writing is strongly preferred.

Text above is the platform's own listing, shown as published. Check the details on SME Careers before applying.

Prepare for the assessment

Practice questions and what each platform says about its screening for this kind of role:

Terms in this listing

  • Prompt: The input given to a model: a question, an instruction or a conversation so far.
  • Guidelines: The project's written instructions that define how to do a task and how to judge answers. On most projects they take precedence over personal preference.
  • Annotation: Adding labels or notes to data such as text, images, audio or video so a model can learn from it.

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