AI training jobs for finance experts
Frontier AI labs pay finance professionals to grade model output, write the reference answers models are scored against, and build the benchmarks that test them.
- Open roles
- 85
- Median rate
- $100/hr
- Publish an hourly rate
- 100%
listings, updated continuously
from 85 published bands
the sample every median here uses
What each finance specialty pays
Every listing we track, grouped by specialty. Rates are read from the platform's own posting — the median is of published hourly bands, and the range runs from the lowest published floor to the highest published ceiling.
| Specialty | Roles | Median | Published range | Distribution |
|---|---|---|---|---|
| Markets & Investment Analysis | 14 | $115n=14 | $70–300 | |
| Deals — IB, PE & VC | 23 | $100n=23 | $45–300 | |
| Audit & Accounting | 11 | $90n=11 | $50–120 | |
| FP&A & Corporate Finance | 6 | $90n=6 | $70–100 | |
| General Finance & AI Evaluation | 16 | $88n=16 | $30–350 | |
| Insurance & Actuarial | 6 | $78n=6 | $20–115 | |
| Tax | 2 | Too few to price | — |
19 of the 85 listings with a published hourly band carry the same $100/hr band. 7 listings are not yet assigned to a specialty, and are counted in the total at the top of the page but not in this table.
What finance experts do in AI
Grade model output against a rubric
Score AI-written models, memos and reconciliations for correctness, then write feedback specific enough for a research team to act on.
Write the reference answer
Produce the “golden” solution a model is graded against — the DCF, the journal entry, the investment committee memo.
Build training scenarios from real work
Turn the artefacts of your own practice — 10-K footnotes, 13-week cash models, reserving scenarios — into material a lab can train on.
Author assessment questions
Write original exam-style items on accounting, audit and tax, each with answer options and a worked solution, for evaluation datasets.
Work directly with an AI lab
Some listings are full-time roles embedded with a lab's research team writing instruction specs and benchmarks — W-2, and sometimes on-site or hybrid.
Who this work is for
Backgrounds in demand
- Accountants & auditors11roles
- Investment bankers, PE & VC professionals23roles
- FP&A, treasury & corporate finance6roles
- Actuaries & insurance underwriters6roles
- Investment analysts & portfolio managers14roles
- Tax professionals (CPA or EA)2roles
Commonly asked for
- Financial modelling
- Valuation
- Financial reporting
- Audit & internal controls
- Tax compliance
- Forecasting
- Variance analysis
- Reconciliation
- Due diligence
- Underwriting & risk pricing
- Rubric-based evaluation
- Structured written feedback
Drawn from the listings themselves and not counted — the skills field on a listing is free text, and no ranking of it would mean anything.
Platforms hiring finance experts
- AfterQueryRoles22Median$107Published range$50–175
- EthosRoles25Median$100Published range$70–100
- micro1Roles19Median$90Published range$20–350
- MercorRoles18Median$90Published range$60–250
Figures are calculated over the finance listings each platform currently has open, on the same basis as the rate report.
Also join these expert networks
- PROFILE ENTRYEthos
One profile with Ethos, matched to paid opportunities across fields as they open — not an application to a single listing.
Create profile on Ethos → - PROFILE ENTRYHandshake AI
One profile with Handshake AI, matched to paid opportunities across fields as they open — not an application to a single listing.
Create profile on Handshake AI →
How AI expert work actually works
- 4 min read
How Finance AI Evaluation Tasks Are Scored
Review calculations, assumptions and document-based claims. The work is explaining where financial reasoning holds and where it breaks.
- 5 min read
What Is AI Evaluation Work?
An output, a set of instructions and a judgment to make. Understand the work, who uses it and where human reviewers fit into AI development.
- 5 min read
How to Pass an AI Evaluation Interview or Assessment
Prepare to demonstrate your reasoning, follow the assessment rules and explain your experience without scripts or invented credentials.
- 6 min read
Mercor vs micro1
Mercor and micro1 side by side — open roles, advertised rates, fields and screening from live Sidequest data — then how to compare a specific opportunity on either.
Questions, answered plainly
Mostly three things: grade AI-generated financial work against a rubric, write the reference answers a model is scored against, and build realistic scenarios from the kind of deliverables you already produce. The domain judgement is what is being bought, not AI skill.
Across the finance listings we currently track, the median is shown at the top of this page and every specialty's median and published range is in the table above it — each with the number of listings behind it. Rates are read from the platform's own posting; where a platform publishes nothing, we show nothing.
Usually not. Where listings mention hands-on use of large language models, it is typically listed as preferred rather than required — the eligibility check on each role page distinguishes the two. What listings do ask for is verifiable depth in your own field.
The board carries both. Most listings here are project-based contract work paid by the hour; some are full-time W-2 roles embedded with an AI lab, and a few of those are on-site or hybrid in a specific city. Where a listing states its working arrangement, its role page repeats it. We publish no remote percentage, and no count of remote roles: many listings say nothing about location at all, and silence is not the same as “anywhere”.
Other fields
New finance roles, by email
One message on the days finance listings open. Nothing on the days they do not.