AI Trainer – Accounting

Planet Pharma; San Francisco (CA); Remote; USD 120,000 - 180,000; Full time

Job summary

Planet Pharma is seeking experienced accounting professionals to craft realistic, end-to-end tasks drawn from real practice, such as month-end reconciliations, technical memos, tax provisions, and audit plans. You will test these with frontier AI agents, comparing results to professional standards, and provide detailed graded feedback to improve AI performance.

The role is fully remote, long-form, and self-directed, valuing clear written reasoning and depth of knowledge across audit, technical

Job description

About the role

is looking for experienced accounting professionals to evaluate how frontier AI models handle real accounting work: technical accounting conclusions, close and reconciliation, audit procedures, tax positions and provisions, and financial reporting. You bring the judgment you have built clearing review notes, tying out workpapers and defending positions to auditors, partners or the audit committee. We bring the model output that judgment is needed to grade.

In this role, you will design challenging, realistic tasks drawn from your own practice, such as a month end close reconciliation package, a technical accounting memo on a revenue or lease question, a tax provision workpaper, an audit sampling plan and results, a disclosure checklist, or a management letter comment, run them through frontier AI agents, and evaluate what comes back against a professional standard.

You will work with realistic professional files, the kind a practitioner in your field actually handles, which you assemble yourself. Some tasks are compact, built around a handful of files; others are larger scenarios that take several days to build. In every case the goal is the same: a task a competent professional in your field would complete correctly and a frontier model currently gets wrong.

This is not a traditional accounting role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth.

Responsibilities

• Design challenging, realistic accounting tasks drawn from your own day to day work: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files a professional would need (trial balances, schedules, source documents, prior year workpapers, correspondence), which you author yourself.
• Run those tasks through frontier AI models and evaluate the deliverable they produce (the workpaper, memo, schedule or reconciliation) against the standard you would hold a colleague to.
• Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short.
• Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right treatment applied, the right amounts, the right disclosures and the right support, and explain in writing why a response passes or fails each one.
• Flag concrete failures with evidence: misapplied standards, numbers that do not tie, unsupported conclusions, fabricated or ignored source documents, missed disclosures, and off brief interpretation of the ask.
• Contribute across audit, technical accounting, tax, close and reporting, and review and refine tasks built by other experts.

Domain qualifications

• 2+ years of hands on experience preferred in public accounting, corporate accounting, audit, tax, or financial reporting.
• In progress Bachelor’s degree or higher in accounting, finance or a related field.
• Depth in at least one of: audit and assurance; technical accounting and financial reporting (US GAAP and/or IFRS); tax (individual, corporate, partnership, provision); controllership, close and consolidation; cost and managerial accounting; internal audit and SOX; forensic accounting.
• Working understanding of several of the others, enough to know what those workflows involve and how they are run, so you can assess work in an adjacent area and point out what was done correctly or incorrectly.
• Comfortable in spreadsheets at a practitioner level: building and checking schedules, reconciliations and roll forwards, not only reading them.
• CPA, CA, ACCA or equivalent is preferred but not required. Practical expertise outweighs credentials. Credential holders may be asked to verify the credential during the assessment.

General requirements

• 2+ years of hands on experience in your field preferred (see Domain qualifications above). Candidates with less experience are considered where the practical work is real.
• Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work.
• Hands on practitioner: you currently do (or recently did) the work yourself at an individual contributor level, not solely in a managerial capacity.
• Full professional or native level written and spoken English, with strong written communication. You can explain complex professional reasoning clearly and concisely, and articulate why a result is wrong, not only that it is.
• Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the subject sits partly outside your own specialization. You verify what a document claims against the underlying numbers, sources or facts.
• Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one.
• Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time).
• General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one.
• Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing).
• Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and full time hours are available.
• Based in the United States, Canada, or the UK.