US Tax Forms Experts

About this role

About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality. In coding, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com 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. Requirements 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 Experience with Label Studio or similar annotation tools 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 Ability to map relationships between fields Responsibilities 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. Perks of Freelancing With Turing: Work at the forefront of AI applications in accounting and finance. Fully remote and flexible work environment. Opportunity to collaborate on high-impact projects with global reach. Offer Details: Commitment: upto 40 hrs/week. Duration: ~1 month, with the possibility of extension based on performance and project needs.