Financial Data Analyst (Remote Contractor)

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help contributors discover projects, build a unified portfolio, and grow durable freelance careers teaching AI systems with human expertise.

We connect skilled contractors to real annotation work across the industry — from document review to model evaluation — and support remote, flexible ways of working.

Why AI Training Work Matters

AI systems learn from examples created and reviewed by people. Financial data annotation is critical: accurate labels and validated documents improve model reliability, compliance checks, and downstream analytics.

This is flexible, remote work that lets you contribute domain expertise while choosing schedules that fit your life. Many contributors start part‑time and grow into long‑term roles in a fast‑growing field.

The Role

We are hiring a Financial Data Analyst contractor to prepare and validate financial datasets used to train next‑generation AI systems. This remote, part‑time contract combines spreadsheet work, document review, and structured annotation with opportunities to share domain insights.

You will work with document data and produce classification labels, named‑entity annotations, and evaluation ratings according to established guidelines.

• Employment: Contractor, Part‑time
• Time: 20+ hours per week
• Location: Remote — worldwide (English required)

What You'll Do

Your day‑to‑day combines financial analysis and hands‑on annotation: organizing datasets, labeling documents, validating values, and communicating findings to product and data science teams.

• Analyze and interpret complex financial data to support consistent annotations.
• Use advanced Excel or Google Sheets techniques to organize, validate, and manipulate large datasets.
• Label, annotate, and categorize financial documents using classification and entity NER approaches.
• Perform evaluation rating tasks to assess label quality and model outputs.
• Review documents for completeness and alignment with annotation guidelines and compliance checks.
• Document findings and present clear explanations to technical and non‑technical stakeholders.
• Identify opportunities to streamline or automate annotation workflows.

Requirements

Candidates must meet the stated requirements below; we will not invent or presume qualifications beyond this list.

• 3+ years professional experience in finance, financial analysis, or a related field.
• Advanced proficiency with Microsoft Excel or Google Sheets (pivot tables, formulas, data validation).
• Demonstrated experience with financial data annotation or data labeling.
• Excellent written and verbal communication skills in English.
• Strong attention to detail and accuracy in data handling and reporting.
• Ability to work independently and collaboratively in a remote team structure.
• Proven track record of delivering high‑quality work under tight deadlines.

Helpful Background (Not Required)

The following experiences make you a stronger candidate but are not strictly required unless listed above.

• Prior experience in remote or distributed teams.
• Familiarity with AI training data or machine learning projects.
• Experience in financial compliance or regulatory environments.

Compensation, Data & Tools

This contract pays hourly on a PAY_PER_HOUR basis in USD. Hourly rates range from $40 to $65/hour depending on experience and scope.

You will work primarily with document data and perform classification, entity (NER) labeling, and evaluation/rating tasks using the project's labeling software (listed as 'OTHER' in project details).

• Pay: $40–$65 per hour (USD), paid hourly
• Data type: Documents
• Label types: Classification, Entity NER, Evaluation/Rating
• (project will provide access and training)