First seen by our source: 27 days ago
FP&A Specialist - Fully Remote | Upto $110/hr
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a contract FP&A Expert to review and quality-check AI-agent rollouts in Financial Forecaster. The work involves judging agent answers against the actual model, refining task prompts, and updating grading guidance. Pay is $70 to $110 per hour, fully remote.
Pay:
$70–$110 an hour
Responsibilities:
- Review and QA AI-agent rollouts in Financial Forecaster
- Identify failure modes in agent answers
- Refine task prompts for realism and difficulty
- Update grading guidance for accuracy
- Catch plausible-but-wrong answers
Requirements summary:
- 5+ years in FP&A, financial reporting, technical accounting, or lender reporting
- Frequent hands-on Financial Forecaster use
- Ability to read a Financial Forecaster model on sight
- Fluency with scenario and import mechanics
- Sound judgment on correct, complete answers
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-16
- Source record updated
- 2026-10-16
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Finance & accounting |
| Experience | 5+ years |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mercor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Full company description
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- LinkedIn followers
- 654,507
- People associated on LinkedIn
- 5,250
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Mercor
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 483,600,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: FP&A Expert
Type: Contract
Compensation: $70–$110/hour
Location: Remote
Role Responsibilities
- Review and QA AI-agent rollouts in Financial Forecaster. Judge agent answers against the actual model and documents.
- Identify failure modes where agents succeed too easily or fail wrongly. Flag tasks that are too easy or solvable without using Financial Forecaster.
- Improve realism and difficulty by refining task prompts. Ensure tasks reflect authentic FP&A and lender-reporting work.
- Update grading guidance for accuracy. Ensure correct answers pass and wrong ones fail, including gating failures.
- Catch plausible-but-wrong answers that a non-expert reviewer might miss. Ensure consistency with the rest of the pack.
Qualifications
Must-Have
- Frequent hands-on Financial Forecaster use for real forecasting, covenant, or reporting work.
- 5+ years in FP&A, financial reporting, technical accounting, or lender reporting.
- Ability to read a Financial Forecaster model on sight. Identify inputs, calculations, overrides, and governing scenarios.
- Reflexive with Financial Forecaster's scenario and import mechanics.
- Sound judgment on correct, complete answers. Confidence to mark plausible answers wrong.
Preferred
- Credit agreement compliance and borrowing base reporting.
- Going concern or impairment analysis.
- Segment reporting, SEC reporting, or disclosure committee experience.
- Hands-on experience across multiple models and entities.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.