Financial Documents Specialist (Portuguese)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help freelancers discover projects, consolidate opportunities, and build a unified portfolio of work that shows how they contribute to real AI systems.

Why AI training matters

AI systems learn from examples prepared and reviewed by people. Financial-domain annotation and evaluation are essential for teaching models to understand reports, spreadsheets, terminology, and calculations accurately. Many projects are remote, flexible, and accessible to professionals with domain expertise.

• This work directly shapes how AI handles real-world financial documents.
• Common benefits: fully remote work, flexible schedules, and opportunities to apply domain expertise to cutting-edge systems.

The role

OpenTrain is recruiting on behalf of OpenTrain for a Financial Documents Specialist (Portuguese). This is a part-time, contract role requiring 20+ hours per week, focused on reviewing, editing, and evaluating Portuguese-language financial documents to train and validate AI systems.

• Employment type: Contractor, Part-time.
• Time requirement: 20+ hours/week.
• Language: Native-level Portuguese required.
• Pay: Paid hourly; range listed $10–$45/hr (up to $45/hr).
• Data type: Documents (evaluation and data-collection labeling).
• Labeling software: Project uses an external/other annotation tool.

What you'll do

Apply your finance expertise to ensure AI training data is accurate, consistent, and aligned with professional standards. Work independently and collaborate with the project team to refine materials and provide actionable feedback.

• Review, create, and refine financial documents in Portuguese (reports, spreadsheets, presentations).
• Produce and edit content using Microsoft Excel, Word, and PowerPoint.
• Assess calculations, financial terminology, structures, and presentation for correctness and clarity.
• Provide detailed evaluation ratings and written feedback to improve dataset quality.
• Ensure documents meet Fortune 500 standards and best practices where applicable.
• Document review processes and communicate findings clearly to the project team.

Requirements

Candidates must meet the stated education, language, and experience requirements. The role demands strong attention to detail and prior hands-on experience with financial documents and reporting tools.

• Native-level proficiency in Portuguese (written and verbal).
• Bachelor’s degree or higher in Finance, Accounting, Business, or a related field.
• Minimum 3 years of professional finance experience working with financial documents.
• Demonstrated experience creating and managing reports, spreadsheets, and presentations using Excel, Word, and PowerPoint.
• Experience working with or for Fortune 500 companies.
• Ability to work independently in a remote environment and meet deadlines.

Who should apply

This role is ideal for finance professionals, accountants, financial analysts, or consultants who are fluent in Portuguese and comfortable applying domain knowledge to improve AI training data. If you enjoy improving document quality and teaching systems how finance works, this project is a strong fit.

• Experienced finance professionals seeking flexible, remote work.
• People who can translate domain expertise into clear, actionable feedback.
• Applicants available for a sustained 20+ hour weekly commitment.

How it works

If you’re selected, you’ll be invited to join the project via OpenTrain, complete any brief training or qualification tasks, and begin reviewing document batches. Work is performed remotely and paid hourly on a contractor basis; exact invoicing and payment cadence depend on the project terms.

• Apply through your OpenTrain profile and follow the project onboarding steps.
• Complete qualification or sample tasks to demonstrate document-review skills.
• Work in the project's annotation environment (labeled as 'OTHER' tooling in the posting).
• Payments are hourly; confirm rate and schedule with the project during onboarding.