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Manager Data Annotation Ai Content Writer Jobs in Madison, WI

micro1 AI

AI Training Expert - US Tax Law

Madison, WI · Remote

$65 - $70/hr

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

micro1 AI

Tax (SALT) AI Training Specialist

Madison, WI · Remote

$20 - $30/hr

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Husch Blackwell Llp

Data Engineering Manager

Madison, WI · On-site +1

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems ... The above is intended to describe the general content of and requirements for the performance of ...

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How much do manager data annotation ai content writer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for manager data annotation ai content writer in Madison, WI is $40.77, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $46.73 per hour, depending on experience, location, and employer.

What is a Manager Data Annotation AI Content Writer?

A Manager Data Annotation AI Content Writer is a professional who oversees teams responsible for labeling data, such as text, images, or audio, to train artificial intelligence models. In addition to managing the data annotation process, they also create, edit, and optimize content that guides AI systems in understanding language and context. This role requires both leadership and technical skills, ensuring high-quality annotated datasets and effective communication with cross-functional teams. They play a crucial part in improving the accuracy and performance of AI-driven content and applications.

What are the key skills and qualifications needed to thrive as a Manager Data Annotation AI Content Writer?

To thrive as a Manager Data Annotation AI Content Writer, you need expertise in data annotation processes, strong written communication, and a background in linguistics, computer science, or a related field. Familiarity with annotation tools (such as Labelbox or Prodigy), project management software, and knowledge of AI/NLP frameworks are typically required, along with certifications in data science or project management being advantageous. Outstanding organizational skills, attention to detail, and the ability to lead and train diverse teams help you excel in this role. These competencies ensure high-quality annotated datasets, efficient workflow management, and the effective development of AI-powered language models.

How does a Manager Data Annotation AI Content Writer typically collaborate with cross-functional teams to ensure high-quality AI training data?

A Manager Data Annotation AI Content Writer works closely with data scientists, machine learning engineers, and project managers to define annotation guidelines, review data quality, and align content with AI model requirements. Regular meetings and feedback sessions help ensure annotated data meets project goals and standards. Additionally, this role often provides training and support to annotation teams, fostering clear communication and continuous process improvement. This collaborative approach is crucial for maintaining accuracy and consistency in AI training datasets.

What is the difference between Manager Data Annotation Ai Content Writer vs Data Annotation Specialist?

AspectManager Data Annotation Ai Content WriterData Annotation Specialist
CredentialsBachelor's degree in relevant field, experience in AI content creationHigh school diploma or equivalent, training in data annotation tools
Work EnvironmentTeam management, project oversight, collaboration with AI developersData labeling tasks, working with annotation tools, individual or team-based
Industry UsageAI development companies, tech firms, content creation agenciesAI companies, data labeling firms, machine learning teams
Search & Comparison IntentUnderstanding managerial roles in AI content creationHands-on data annotation tasks and skills

The Manager Data Annotation Ai Content Writer oversees annotation projects and manages teams, focusing on strategy and quality control. In contrast, a Data Annotation Specialist performs the actual labeling work, ensuring data accuracy. Both roles are essential in AI development but differ in responsibilities and experience requirements.

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Manager Data Annotation Ai Content Writer jobs near you

AI Training Expert - US Tax Law

micro1 AI

Madison, WI • Remote

$65 - $70/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: U.S based Accountant (CPA/CA)


Job Type: Contract


Location: Remote


Job Summary: You'll use your tax expertise to help train next-generation AI systems. The core work is reading US sales and use tax statutes and defining exactly what an AI's formal translation of the law must capture to be correct. Work spans multiple state jurisdictions, with some federal provisions as well. No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters.


Key Responsibilities:

  1. Read and interpret sales and use tax statutes and regulations across US state jurisdictions, and occasionally federal tax provisions, at the level of individual subsections.
  2. Author rubrics: break a section of law into a checklist of discrete requirements the AI's translation must satisfy, grounded strictly in the statute text and written independently of the AI's output.
  3. Assign severity to each requirement (critical vs. secondary vs. minor) based on genuine statutory weight, not defaulting everything to critical.
  4. Review the AI's formal translation of a statute and score it pass/fail against your rubric, checking that conditions, thresholds, AND/OR logic, and exceptions are captured accurately.
  5. Write clear, self-contained test scenarios (including edge cases) for failed criteria, with explicit facts, dates, amounts, and expected outcomes.
  6. Identify and flag discrepancies, statutory exceptions, and genuine ambiguities in the law.
  7. Work within a digital review platform, submitting structured written evaluations.


Required Skills and Qualifications:

  1. Active CPA license, Chartered Accountant designation, or experience as a US tax attorney.
  2. Sales and use tax or broader state and local tax statutory experience strongly preferred.
  3. Proven ability to read and interpret tax statutes and regulations, not just prepare returns.
  4. Comfort working with legal logic: conditions, thresholds, AND/OR structures, exceptions, and defined terms.
  5. Strong written communication with a focus on precision. Another reviewer should reach the same conclusion from your criteria.
  6. High attention to detail, especially around "except for" clauses and edge cases.
  7. Comfort providing structured feedback through a digital review interface.


Preferred Qualifications:

  1. Experience across multiple state tax jurisdictions.
  2. Enrolled Agent designation, or federal tax experience relevant to the scenario-review track.
  3. Direct experience reviewing or validating AI or technology-driven tax content.
  4. Background in training teams or giving written feedback on legal/tax language.
  5. Interest in the intersection of technology and tax compliance.

Apply