Technical Accounting And FP&A Experts: AI Training Scenarios
- Salary
- $100 per hour
- Level
- Mid
- Work type
- Remote · US only
Not stated in the posting: visa.
Open. First seen 2 October 2026.
About the role
What We're Researching
We're hiring technical accounting and FP&A experts to help build reinforcement learning environments for AI systems. This work focuses on creating complex financial scenarios, defining edge cases, and establishing evaluation rubrics. Your contributions will directly improve how artificial intelligence handles sophisticated financial and accounting tasks.
How It Works
You will participate in a remote session to design and author technical accounting scenarios. During the task, you will document complex FP&A edge cases and build corresponding evaluation rubrics. You will also peer-review scenarios created by other professionals to ensure accuracy and depth. The entire process takes place through a remote platform where you can submit and review written financial logic.
Who This Is For
We are looking for experienced professionals in technical accounting, financial planning, and analysis. We welcome CPAs, FP&A directors, controllers, and senior financial analysts with deep technical expertise. Candidates should be highly comfortable navigating complex financial edge cases and structuring logical evaluation criteria.
What You'll Do
- Design and author technical accounting scenarios and edge cases
- Build evaluation rubrics for financial planning and analysis tasks
- Peer-review financial scenarios created by other experts for accuracy
- Structure complex financial logic for AI reinforcement learning environments
Who Should Apply
- Professional experience in technical accounting or FP&A
- Strong understanding of complex financial edge cases
- Familiarity with creating structured evaluation criteria or rubrics
- Ability to clearly document and explain advanced accounting principles
Compensation
$100 per hour
Ready to participate?
Start your paid interview now
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
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Learn more at terac.com or on YouTube at @jointerac.
What this role asks for
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Compared with Terac's other open jobs.
The team: Participant Recruitment HIRES STEADILY
This role is one of 24 open in Participant Recruitment. 15 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (3 of 24), React (3 of 24), Prompt Engineering (2 of 24), Test Automation (2 of 24)
OTHER ROLES ON THIS TEAM
- Technical Professionals: Evaluate Technical Presentation Decks posted Oct 24
- Business Professionals: Presentation Slide Deck Evaluation for AI Training posted Oct 23
- Pharmacists: Paid Expert Review for Clinical AI Benchmarks posted Oct 23
- Radiology Residents: Medical Image Evaluation for AI Benchmarks posted Oct 23
- Radiology Residents: Medical Image Evaluation for AI Benchmarks posted Oct 22
- Radiologists: Medical Image Review for AI Benchmarks posted Oct 22
- Radiologists: Medical Image Review for AI Benchmarks posted Oct 22
- Data Annotators: Paid Tasks for AI Model Training posted Oct 19
- Fintech Engineering Leaders: Interview on Card Issuing Platforms posted Oct 12
- IT and Business Managers: Paid Interview on Technology Operations posted Oct 8
- Healthcare Data Governance Leaders: Interview on AI Access and Compliance posted Oct 3
- UX and Product Leaders: Customer Research Workflows posted Oct 2
- Software Engineers: Paid Code Review for AI Agent Evaluation posted Oct 2
- South Asian Software Engineers: Coding Tasks for AI Evaluation posted Oct 1
- LATAM Software Engineers: Coding Tasks for AI Evaluation posted Oct 1
- Software Engineers: Paid Interview on AI Evaluation Tasks posted Sep 19
- Transaction Finance Professionals: AI Output Annotation and Ranking posted Sep 18
- Management Consultants: Paid AI Output Evaluation posted Sep 18
- Technical Recruiters: Interview on Full-Cycle Hiring Workflows posted Sep 7
- Machine Learning Engineers: Scenario Building for Reinforcement Learning posted Sep 3
- AI Evaluators: Assessing A Shopping Assistant posted Sep 2
- Professionals: Designing Challenging AI Prompts posted Aug 25
- Advanced STEM Experts (PhD Level): Scientific Reasoning For AI Training posted Aug 6
From the team and dates on Terac's own job board.
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