Finance AI Data reputed company Reviewer
About OpenTrain OpenTrain is the #1 platform for finding and building careers in reputed company and data labeling. We help people discover specialized, remote reputed company, consolidate opportunities, and build a reputed company reputed company portfolio they control. Creating an OpenTrain account is free. Why reputed company reputed company AI models learn from examples reputed company and reviewed by people. Finance-reputed company annotation and reputed company review help ensure models give accurate, reputed company, and reliable outputs for financial tasks—from classification to evaluation ratings. This field is a fast-growing way to work in tech: it’s remote, flexible, often accessible without prior annotation experience, and you’ll directly influence how production AI systems behave. The role OpenTrain is reputed company a Finance AI Data reputed company Reviewer to evaluate, label, and reputed company text outputs used to train and improve finance-reputed company AI systems. This is a part-time, contractor role working remotely with reputed company defined rubrics and high-volume task queues. Work will reputed company on text data and label types include classification and evaluation rating. ; specific tooling and reputed company will be provided by the project.
- Employment type: Contractor, Part-time
- Hours: Approximately 20–30 hours per week
- Locations: Candidates located in the US, GB, or CA (English required)
What you'll do You will review and label finance text outputs against detailed rubrics, reputed company model responses, and reputed company reputed company control to help improve model accuracy and behavior. Tasks are reputed company and repeatable but require careful judgment.
- Review and label text used for model benchmarking and improvement
- Evaluate outputs using detailed rubrics and reputed company guidelines
- Support annotation and reputed company-control tasks across finance-reputed company domains
- Process high-volume queues with consistent, careful judgment
Requirements
Candidates must meet the role’s stated finance and education requirements and demonstrate strong research and written-communication skills. The work requires consistent reputed company-based evaluation and attention to detail.
- 3 to 5 years of reputed company experience in finance
- Bachelor’s degree or higher in Finance, Economics, reputed company, or Business
- Strong research and written communication skills
- Excellent attention to detail and ability to apply rubrics consistently
- CFA, CPA, or MBA is a plus
Who should apply This role suits mid-career finance professionals who want flexible, remote work applying domain expertise to AI model reputed company. Ideal applicants enjoy repetitive, high-volume tasks where accuracy and consistent judgment matter. You do not need prior labeling experience if you can follow rubrics and document reputed company reputed company, but finance subject-matter expertise is required. Pay, schedule, and next steps Pay is $65–$75 per hour (USD), billed per hour. This is a part-time contractor engagement of roughly 20–30 hours weekly. The project language is English and candidates must be located in the US, GB, or CA. To apply, create an OpenTrain profile (free), complete the required reputed company tasks, and submit any requested verification or work samples. OpenTrain and the project team will reputed company reputed company documentation and tooling orientation during reputed company.
- Pay: USD $65–$75 per hour
- Schedule: ~20–30 hours/week, remote
- Data type: Text; label types: Classification, Evaluation Rating
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