Remote Investments Performance Analyst for AI Training
DataAnnotationRole Overview
DataAnnotation is hiring a mid-level Remote Investments Performance Analyst for AI Training. This is a full-time role in West Virginia. The posted range is $60k to $80k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
A technology company is seeking a Performance Analyst (Investments) for a flexible remote position in the United States. The ideal candidate will leverage their finance expertise to enhance AI models, ensuring accuracy and performance in financial contexts. Responsibilities include reviewing AI outputs, providing structured feedback, and evaluating solutions for real-world scenarios. Candidates should have fluency in English and proficiency in financial analysis, with a master's or PhD preferred. Pay is competitive, starting at $50-$60 per hour, with opportunities for bonuses.
Frequently Asked Questions
How do I apply for the Remote Investments Performance Analyst for AI Training position at DataAnnotation?
Use the Apply button above to submit your application directly to DataAnnotation. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Remote Investments Performance Analyst for AI Training position at DataAnnotation located?
This position is based in West Virginia. DataAnnotation has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Remote Investments Performance Analyst for AI Training role at DataAnnotation pay?
DataAnnotation has posted a compensation range of $60k to $80k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Remote Investments Performance Analyst for AI Training role at DataAnnotation posted?
This role was posted on April 12, 2026 (57 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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