Accountant
Pubblicato il 17-10-2026 - SME Careers in Firenze
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.
L'esperienza richiesta ai candidati, così come le competenze e le qualifiche aggiuntive necessarie per questo lavoro, sono elencate di seguito.
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.
Key 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.
Your Profile
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 prof