Tax Form Annotation Specialist

Posted 15 Hours Ago
Be an Early Applicant
12 Locations
Remote
Mid level
Artificial Intelligence • HR Tech • Software • Generative AI
The Role
Annotate tax forms by researching layouts, drawing precise bounding boxes, defining field schemas and relationships in Label Studio, exporting JSON/YAML, validating overlays, and documenting metadata and formulas for downstream model training.
Summary Generated by Built In
Role Overview

We are seeking an efficient and detail-oriented Tax Form Annotation Specialist. This hybrid role requires both hands-on experience with tax documentation and the technical expertise to annotate forms in Label Studio or any other software. You will use tax forms to extract bounding box information with correct relationships between the boxes.

Core Workflow & Responsibilities

The role follows a structured six-step pipeline:

Phase 1 — Research

  • Form Research: Study tax form layouts, field relationships, and IRS/Financial institutions/local authority instructions to establish annotation scope and rules.

Phase 2 — Drawing Bounding Boxes

  • Define Field Keys & Schema: Create Labels, Fields, and Data Types in Label Studio for every identifiable field on the form.

  • Draw Bounding Boxes: Precisely draw bounding boxes over each field and assign the correct Label, Field name, and Data Type to every box.

Phase 3 — Relationships

  • Define Inter-field Edges: Identify intercorrelated fields and configure relationship tags and edge links between them in Label Studio.

  • For calculation relations, provide formula in a separate sheet to be used in Phase 4

Phase 4 — Post-Processing

  • Export, Test & Validate: Generate JSON and YAML annotation exports, test overlay alignment on source PDFs, and verify schema integrity.

Required Qualifications & Skills

Tax & Domain Knowledge

  • Solid understanding of tax form structures (e.g. W-2, 1040, 1099, VAT returns, Self-Assessment, corporate tax schedules)

  • Familiarity with field dependencies within tax forms — relationships between income lines, deductions, credits, and totals

  • Working knowledge of tax authority form-filling guidelines (IRS, Financial institutions, or equivalent)

  • Ability to research and interpret unfamiliar form types independently

Annotation & Technical Skills

  • Hands-on experience with Label Studio or a comparable document annotation platform

  • Proficiency in drawing precise bounding boxes and applying structured label schemas

  • Understanding of field-level data types: strings, dates, currency, checkboxes, enumerations

  • Ability to define and document field metadata including format constraints and validation rules

  • Familiarity with JSON and YAML for reviewing and validating annotation exports

  • Experience linking related fields using relationship/edge tagging

Nice to Have
  • Background in accounting, bookkeeping, or tax preparation

  • Experience with bounding boxes and label studio or similar

  • Prior work on training data for document AI

What Success Looks Like
  • Bounding boxes are accurate, consistent, and cover all meaningful fields on every form

  • Field keys and schemas are correctly defined and follow agreed naming conventions

  • Metadata is complete and correct for every annotated field

  • Exported JSON/YAML overlays cleanly on source PDFs with no misalignment

  • Inter-field relationships are logically mapped and documented

  • Adapting to changing requirements in a fast paced work environment

Commitment Required

Full-time. 40 hours/week (30 hours/week is exceptionally acceptable, but 20 hours/week is not). 4 hours overlap with PST

Location

Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Philippines, Sri Lanka, Turkey, United States, Vietnam.

Skills Required

  • Solid understanding of tax form structures (W-2, 1040, 1099, VAT, Self-Assessment, corporate tax schedules)
  • Familiarity with field dependencies within tax forms (income lines, deductions, credits, totals)
  • Working knowledge of tax authority form-filling guidelines (IRS, financial institutions, or equivalents)
  • Ability to research and interpret unfamiliar form types independently
  • Hands-on experience with Label Studio or comparable document annotation platform
  • Proficiency in drawing precise bounding boxes and applying structured label schemas
  • Understanding of field-level data types: strings, dates, currency, checkboxes, enumerations
  • Ability to define and document field metadata including format constraints and validation rules
  • Familiarity with JSON and YAML for reviewing and validating annotation exports
  • Experience linking related fields using relationship/edge tagging
  • Full-time availability (40 hours/week; 30 hours/week exceptionally acceptable) with 4 hours overlap with PST
  • Background in accounting, bookkeeping, or tax preparation
  • Prior work on training data for document AI
  • Experience with bounding boxes and Label Studio or similar (listed as nice-to-have)
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The Company

What We Do

Careerflow.ai is an AI-powered career management platform and 'career copilot' dedicated to helping job seekers land their dream jobs. The company provides a comprehensive end-to-end toolkit featuring an AI resume builder, LinkedIn profile optimizer, and job tracking tools. By streamlining the application process and optimizing professional profiles, Careerflow helps users navigate the competitive job market and get hired at top tech and startup companies faster.

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