Finance Natural Language Processing Machine Learning Engineer
AfterQuery β’ Remote
Education
Any
Type
hourly
Pay Rate
$0/hr
Listed
51d ago
AfterQuery: our referral track record
We've referred 121 candidates to AfterQuery roles. None have been placed yet β referrals here are still recent.
What We Know About This Role
- Weekly hours
- 10β20 hrs/week
- Contract length
- 6 weeks
About this Role
From the AfterQuery listing
This is a remote, project-based role for machine learning researchers and engineers with deep expertise in natural language processing applied to financial data and systems. You will complete tasks at the intersection of NLP and finance β including model development, fine-tuning, and research tasks applied to earnings calls, financial filings, market sentiment, news analytics, and other text-rich financial data sources. Work is over the next 2β3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10β20 hours per week for the projects you accept. This position offers exceptional pay, exposure to cutting-edge finance NLP research, and a strong addition to your research portfolio.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Why This Role
Geography stops mattering here. This remote Finance Natural Language Processing Machine Learning Engineer opportunity pays $0/hr regardless of where you're based, making it a solid entry point into Software Engineering work without needing to relocate.
Skills & Categories
Explore other opportunities in related specializations:
Related Jobs
Engineering & Data tools Specialist
micro1 β’ Software Engineering
$80 /hr
QA / Software Engineering Reviewer β Browser Test Validation
mercor β’ Software Engineering
$60 /hr
Head of AI & Engineering Expert
ethos β’ Software Engineering
$150 /hr
Senior Machine Learning Engineer / Model Evaluations Expert
ethos β’ Software Engineering
$125 /hr
Browse All Jobs from AfterQuery
Discover more opportunities on AfterQuery that match your skills and interests.
View All AfterQuery Jobs βVerified Reviews
Community Reviews
Share your experience with AfterQuery
Help other candidates make better decisions by leaving a review.
Sign in to leave a reviewLeave your review
Frequently Asked Questions
Do I need a PhD to qualify for AfterQuery?
Only for specialist roles: ML research, atmospheric modeling, bioinformatics, COBOL, and audit accounting positions require verifiable credentials, usually a PhD, master's degree, or 5+ years of professional experience. AfterQuery's domain screeners check credentials before confirming an assignment, so listing a degree without the matching experience won't get you through. Generalist reviewer roles have a lower bar but come up less often.
How long do AfterQuery projects last?
Typically 2 to 3 weeks at 10 to 20 hours a week. There's no guaranteed follow-on work once a project closes, so treat it as a high-pay burst contract rather than steady income. AfterQuery does re-hire specialists for new campaigns, but that depends entirely on what AI labs are training at the time.
When does AfterQuery pay contractors?
On a per-contract schedule, typically net-15 to net-30 from invoice submission rather than the weekly payouts some platforms offer. Confirm the exact terms in your contract, and ask your project contact directly if payment timing affects your cash flow.
What does task-based AI training work actually look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
Do task-based AI training roles require an interview?
Check the Job Facts panel above for this specific listing. Where no fact is confirmed yet: most of these roles skip a live interview and gate access through an automated assessment or qualification task instead, though some do add an interview step, so don't assume either way until you check the application flow.
What does Software Engineering work look like for a Finance Natural Language Processing Machine Learning Engineer?
Tasks here are scoped to Software Engineering, not generic labeling. As a Finance Natural Language Processing Machine Learning Engineer, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.
How many hours per week does this role require?
Based on the listing, this role is scoped at 10β20 hours per week, over roughly a 6-week contract. Treat this as a real commitment expectation, not a loose estimate.
What happens when I click Apply on this listing?
You'll be taken to Afterquery'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.