US Tax Law Annotation Experts

Role Overview

Turing is seeking US Tax Law Annotation Experts to help create high-quality structured datasets for AI systems by annotating and validating tax documents. In this fully remote contractor role, you will combine your tax expertise with document annotation skills to identify, label, and organize information from tax forms while ensuring consistency and accuracy.

This opportunity is ideal for tax professionals, accountants, bookkeepers, and document annotation specialists with experience working on tax forms and structured data projects.

Key Responsibilities

Annotate Tax Documents

• Analyze tax forms to identify fields, structures, and dependencies.
• Define and apply annotation schemas, including field labels, names, and data types.
• Accurately annotate documents using bounding box techniques.

Structure & Validate Data

• Map relationships between related tax fields, including calculations and dependencies.
• Validate annotation outputs in JSON or YAML format.
• Ensure annotated data accurately reflects the source documents.

Maintain Annotation Quality

• Document annotation rules, assumptions, and edge cases.
• Ensure consistency across large annotation datasets.
• Review and improve structured tax data for AI model training.

Support AI Development

• Apply tax law knowledge to improve annotation quality.
• Research unfamiliar tax forms and official documentation when needed.
• Contribute to AI systems focused on accounting, finance, and tax-related applications.

Required Qualifications

Tax & Domain Expertise

• Strong understanding of tax forms, including:

  • W-2
  • Form 1040
  • Form 1099
  • VAT forms
  • Self-Assessment forms
  • Corporate tax forms

• Understanding of relationships between:

  • Income
  • Deductions
  • Credits
  • Totals

• Ability to interpret official tax form instructions.

• Ability to independently research unfamiliar tax forms.

Annotation & Technical Skills

• Experience using Label Studio or similar annotation tools.

• Experience with:

  • Bounding box annotation
  • Structured data labeling
  • Field schema definition
  • Validation rules

• Familiarity with:

  • JSON
  • YAML

• Understanding of data types such as:

  • Text
  • Date
  • Currency
  • Checkbox

Preferred Qualifications

• Background in:

  • Accounting
  • Bookkeeping
  • Tax Preparation

• Experience with:

  • Document AI
  • AI training datasets
  • Large-scale annotation projects

Compensation

• Competitive compensation (not specified)

Work Arrangement

• Fully Remote
• Independent Contractor
• Up to 40 hours per week
• Approximately 1-month engagement
• Potential contract extension based on performance and project needs