Finance & Accounting Task Author (AI Training)

Job summary

The role involves designing and authoring realistic accounting reconciliation tasks and scoring rubrics to train AI agents. Responsibilities include setting up financial data environments and iteratively refining task difficulty to ensure objective scorability.

Job details

About The Role What if your hands-on accounting experience could directly shape how AI handles real enterprise finance work? Alignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on accounting reconciliation — and we're looking for experienced Canadian finance professionals to help design them. As a Task Author, you will create realistic, numerically rigorous accounting scenarios — billing versus revenue reconciliation, payment-to-invoice matching, margin report analysis — that genuinely challenge capable AI agents while remaining objectively scorable. This is a fully remote, flexible contract role open to accountants, finance analysts, and related professionals across Canada. No AI background needed. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: Flexible, task-based Key Responsibilities Author realistic task prompts centered on accounting reconciliation: matching payments to invoices, reconciling billing against recognized revenue, and analyzing margin reports Write scoring rubrics that specify exact numerical outcomes and the reasoning steps required to reach them Set up task environments with the financial data, documents, and system states needed to replicate a realistic accounting scenario Solve each task yourself to validate that the numbers work and the rubric is correct Calibrate task difficulty — adjust data complexity, ambiguity in source documents, or required reasoning steps until the task reliably challenges the model to the intended degree Review and correct AI-drafted task prompts or rubrics when provided Qualifications Hands-on experience as an accountant, finance analyst, or in a closely related role Strong, precise numerical reasoning and demonstrated ability to work through multi-step reconciliation problems Solid knowledge of revenue recognition principles, matching rules, and standard accounting workflows Ability to define verifiable correctness criteria — exact figures, reconciled balances, or documented variance explanations Comfortable working with financial documents, spreadsheets, and accounting system outputs Iterative mindset: willing to test and refine tasks until difficulty and gradability are both right Nice to Have Experience in manufacturing, industrial, or enterprise B2B finance environments Familiarity with ERP or accounting platforms (e.g., NetSuite, SAP, QuickBooks Enterprise) CPA Canada designation or equivalent Background in audit, financial controls, or revenue assurance Why Join Us Work on cutting-edge AI projects alongside leading research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, task-based work Contribute to AI development that directly shapes how technology handles enterprise finance Potential for ongoing work and contract extension as new projects launch

What you’ll do

The role involves designing and authoring realistic accounting reconciliation tasks and scoring rubrics to train AI agents. Responsibilities include setting up financial data environments and iteratively refining task difficulty to ensure objective scorability.

Requirements

Candidates must have hands-on experience as an accountant or finance analyst with strong numerical reasoning and knowledge of revenue recognition. Proficiency in working with financial documents and an iterative mindset for task refinement are required.

Listed skills

• Data Validation · Preferred
• Revenue Recognition · Preferred
• Financial analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Accounting Reconciliation
• Numerical Reasoning
• Revenue Recognition
• Financial Analysis
• Rubric Creation
• Data Validation
• Margin Report Analysis
• Payment-to-Invoice Matching
• Financial Documentation
• Spreadsheet Proficiency

Job areas

• Finance & Accounting
• Technology
• Data & Analytics
• Software
• Consulting