Transaction Finance Professionals: AI Output Annotation and Ranking
Terac • United States, Canada
Education
Not stated
Type
Per task
Pay Rate
$100/task
Listed
5d ago
About this role
From the Terac listing
What We're Researching
We're hiring finance experts to evaluate AI-generated outputs related to transaction finance. Our goal is to improve how artificial intelligence processes complex financial data and structures transaction-related information. This work directly feeds into training more accurate and reliable financial models for the industry.
How It Works
During this paid study, you will review various AI-generated documents and data points specific to transaction finance. You will be asked to rank these outputs based on their factual accuracy, industry relevance, and overall quality. Additionally, you will provide detailed annotations to highlight errors or areas where the model's logic breaks down. The work is conducted asynchronously through our remote platform, allowing you to complete tasks at your own pace.
Who This Is For
This opportunity is tailored for professionals with direct experience in transaction finance, investment banking, or corporate development. We welcome financial analysts, transaction advisory specialists, M&A professionals, and corporate finance managers. Ideal candidates have a sharp eye for detail and a strong understanding of financial modeling and transaction workflows.
Why this role
This Transaction Finance Professionals: AI Output Annotation and Ranking position pays $100/task for Finance expertise on your own schedule, comparable to specialized consulting work without the client acquisition or billing overhead.
Talent pool
We're light on Finance candidates
We've matched 55 people with a Finance background against 1011 Finance listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
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Common questions
Is Terac legitimate?
Yes. Terac is a funded, US-based marketplace with real AI-lab and market-research clients, not a task-mill. It verifies your identity and professional background before matching you to any paid work, which is stricter screening than most open task queues use.
How does Terac decide who gets matched to this listing?
You complete a short AI-driven interview, identity verification, and a domain-specific screening test once. After that, Terac matches verified candidates to paid studies that fit their profile instead of running an open queue, and pay is released once your submission on this listing is checked against the requirements above.
Is this kind of AI-training work on Terac steady, or does it come and go?
Project-based, not steady. Terac opens listings like this in bursts when an AI lab requests a specific batch, categorizing data, writing or validating coding tasks, creating expert-level problems, and closes them once the batch is filled or complete. Treat it as recurring gig income you requalify for each time, not a standing job.
Why does pay vary so much across Terac's AI-training listings?
Pay tracks verified expertise, not a platform-wide rate. Generalist labeling sits at a few dollars an hour; work gated behind a passed domain screening, like software engineering or STEM problem creation, pays task bounties well over $100. Check this listing's own rate above rather than assuming other Terac listings pay the same.
Why do these AI training roles pay so much?
Because general knowledge isn't what's being tested. The model already knows the basics; what it needs is expertise on edge cases, the rare, difficult, highly technical judgment calls only a senior professional in the field would make correctly.
What does the day-to-day workload look like for elite-expert AI training roles?
Slow and deep, not fast and repetitive. A single task can take 45-60 minutes of researching citations or verifying complex calculations. Quality is what's being measured here, not throughput.
What does Finance work look like for a Transaction Finance Professionals: AI Output Annotation and Ranking?
Tasks here are scoped to Finance, not generic labeling. As a Transaction Finance Professionals: AI Output Annotation and Ranking, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Finance) rather than following a one-size-fits-all rubric. If you don't have hands-on Finance background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Expert is named directly in the listing. If you don't have hands-on experience with this, expect the screening process to test for it directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
This listing is posted at $100/task, a per-task rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
How does per-task pay translate to an hourly rate?
It doesn't directly, that's the catch. Each task has a listed price and an estimated completion time, but your actual effective rate depends on how fast you work. If a task is estimated at 20 minutes and pays $8, that is $24/hr for a fast worker and $12/hr for a slow one. Track your actual time on the first few tasks before treating the listed rate as your real hourly income.
What happens when I click Apply on this listing?
You'll be taken to Terac's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Can I apply from outside the United States or Canada?
This specific role is open only to people based in the United States and Canada. If you are somewhere else, applying is unlikely to lead to an offer even if you pass the assessment, because the restriction is usually about where the work can legally be contracted rather than your skills. Read the full description for any tax-residency or right-to-work caveats before you apply, since they can differ by country.