Investment Finance Professionals
Terac
Investment Finance Professionals
Terac
No-code AI for unstructured data automation
We are hiring investment finance experts to complete domain-specific tasks and authoring assignments. This paid initiative relies on professional market knowledge to build and evaluate complex financial content. Your expertise will directly inform the quality and accuracy of our specialized finance resources.
You will work independently on an external platform to complete a variety of investment finance assignments. The work involves writing detailed financial content and solving structured domain tasks. You will manage your own time on an hourly basis, logging your activity using Insightful time-tracking software. All assignments are completed asynchronously from your own workspace.
We welcome investment analysts, portfolio managers, financial writers, and other finance professionals with deep market knowledge. Candidates should be comfortable working independently and authoring complex financial text. Experience with independent project work or remote time-tracking tools is highly beneficial.
Complete structured investment finance tasks on a designated external platform
Author detailed content related to financial markets and investment strategies
Manage independent work sessions and track your time using Insightful
Apply deep domain knowledge to evaluate complex financial concepts
Professional background in investment finance or financial analysis
Strong writing skills for technical financial authoring
Ability to work independently in a remote environment
Comfortable using Insightful software for time tracking
$91 per hour
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.
Learn more at terac.com or on YouTube at @jointerac.
Terac provides a no-code AI platform that automates the handling of unstructured data, turning emails and documents into structured, actionable information. Users build, manage, and scale AI-driven automation for tasks like document classification, data extraction, and email processing without needing extensive AI expertise or large training datasets. Compared with traditional AI tools, Terac focuses on a no-code, end-to-end approach for unstructured data, letting teams deploy automations without coding or separate data-extraction components. Its goal is to improve operational efficiency by reducing manual, repetitive work and speeding up information processing across workflows.
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