Posted over 30 days ago. Roles like this often stay open for a while, so it's still worth applying.
Tax Law Annotation Specialist at Turing
posted 3 months agoTax Law Annotation Specialist | Contractor | Remote (US)
Turing is seeking a detail-oriented Tax Form Annotation Specialist to support the development of high-quality structured datasets from tax documents. This short-term freelance role blends deep tax domain knowledge with hands-on annotation tool experience to help advance cutting-edge AI systems in the accounting and finance space.
About Turing
Turing is one of the world's fastest-growing AI companies, partnering with leading AI labs to advance frontier model capabilities and building real-world AI systems that solve mission-critical challenges for global enterprises.
Role Overview
You will identify, label, and structure data fields within tax forms — ensuring accuracy, consistency, and correct field relationships. Your work will directly contribute to training high-quality AI models for document understanding.
Key Responsibilities
- Analyze tax forms to identify fields, structures, and dependencies
- Define and apply annotation schemas (labels, field names, data types)
- Accurately annotate documents using bounding boxes in tools like Label Studio
- Map relationships between related fields (e.g., calculations, dependencies)
- Validate annotation outputs (JSON/YAML) for accuracy and alignment with source documents
- Document rules, assumptions, and edge cases to ensure annotation consistency
Requirements
Tax & Domain Knowledge:
- Strong understanding of tax form structures (W-2, 1040, 1099, VAT, corporate forms, etc.)
- Familiarity with field relationships — income, deductions, credits, and totals
- Ability to interpret IRS or equivalent tax authority instructions
- Comfortable independently researching and understanding new form types
Annotation & Technical Skills:
- Experience with Label Studio or similar annotation platforms
- Proficiency in bounding box annotation and structured labeling
- Understanding of data types: text, date, currency, checkbox, etc.
- Familiarity with JSON/YAML for reviewing annotation outputs
- Experience defining field schemas and validation rules
Nice to Have
- Background in accounting, bookkeeping, or tax preparation
- Experience with document AI or training dataset creation
- Prior involvement in large-scale annotation projects
Engagement Details
- Commitment: Up to 40 hours/week
- Duration: ~1 month, with potential extension based on performance and project needs
- Environment: Fully remote and flexible
Join Turing and work at the forefront of AI innovation in accounting and finance — contributing to impactful projects with global reach.