Financial Markets Research Associate
Alignerr · Remote · Research / analysis
Financial Markets Research Associate is an open role at Alignerr, available remotely, with pay listed as $50–$95/hr.
Applications open on Alignerr’s own site. How we make money.
At a glance
- Pay
- $50–$95/hrStated by Alignerr
- Location
- Remote
- Work type
- Research / analysis
- Field
- Finance
- Listed
- Since Oct 4, last confirmed Oct 24
How the pay compares
Higher than 39% of the 66 distinct hourly rates advertised for Finance roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Alignerr’s listing
“Financial Markets Research Associate (AI Training) About the Role What if your knowledge of equities, macroeconomics, and market dynamics could directly shape how AI understands the financial world?”
Show the full listing
Financial Markets Research Associate (AI Training) About the Role What if your knowledge of equities, macroeconomics, and market dynamics could directly shape how AI understands the financial world? We're looking for Financial Markets Research Associates to synthesize complex financial information into clear, structured outputs that help train and improve cutting-edge AI systems. This is a fully remote, flexible contract role. No AI background required — just solid financial acumen, a sharp analytical mind, and the ability to translate complexity into clarity. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : Flexible hours What You'll Do Research and review equity markets, macroeconomic indicators, industry trends, and company-level disclosures Identify key drivers and themes affecting specific sectors, companies, or the broader market Synthesize raw financial information into concise, structured, and standardized research summaries Cross-check data sources for accuracy, coherence, and consistency Support ad-hoc research tasks as project needs evolve Work independently and asynchronously — fully on your own schedule Who You Are Background in market research, economics, finance, investment analysis, or a closely related field Strong ability to synthesize complex, multi-source financial information into clear takeaways Structured, precise writing style — you communicate findings with confidence and clarity Detail-oriented and methodical, with a consistent approach to quality Self-motivated and reliable when working independently No prior AI experience required Nice to Have Familiarity with fundamental analysis — earnings, valuations, balance sheet interpretation Experience working with macro or sector-specific datasets Background in equity research, buy-side or sell-side analysis, or economic consulting Exposure to financial data platforms or research tools Why Join Us Work on cutting-edge AI projects alongside leading research labs and fi
About Alignerr: part of Labelbox. See the full profile →
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Frequently asked questions
How do I apply for the Financial Markets Research Associate role at Alignerr?
Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.
Is the Financial Markets Research Associate role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Financial Markets Research Associate role at Alignerr pay?
Alignerr lists this role's pay as $50–$95/hr, quoted from the listing rather than estimated.
What kind of work is Financial Markets Research Associate?
Research / analysis. AI training, evaluation, coding, writing and specialist review
Is Alignerr a legitimate AI-training platform?
Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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