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Data Annotation Manager Jobs in Wisconsin (NOW HIRING)

Lorven Technologies

SAP SME Consultant - ABAP

Neenah, WI · On-site

$63.25 - $85.75/hr

The ideal candidate will be proficient in custom development, Z-table data extraction, and ... AMDP (ABAP Managed Database Procedures) * OData Services and Fiori integration * ABAP RESTful ...

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Data Annotation Manager information

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$31.3K

$98.1K

$173.6K

How much do data annotation manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data annotation manager in Wisconsin is $98,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,700.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

What are some common challenges faced by Data Annotation Managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

What are the key skills and qualifications needed to thrive as a Data Annotation Manager, and why are they important?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

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Data Annotation Manager jobs near you
SAP SME Consultant - ABAP

SAP SME Consultant - ABAP

Lorven Technologies

Neenah, WI • On-site

$63.25 - $85.75/hr

Contractor

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

Job description

Job Description: SAP SME Consultant - ABAP
Location: Neenah or Oconomowoc in Wisconsin area (Day one onsite - local or who can be ready to relocate to WI)
12 Months Contract
Note: Technical + we're looking for someone to work as a business analyst too
Role Overview:
We are seeking a highly skilled SAP ABAP Consultant with deep experience across ECC and S/4HANA environments and can work as a SAP SME for validating client Tech Specs for moving data from SAP to a data lake ( primarily written for SAP data sources ). The ideal candidate will be proficient in custom development, Z-table data extraction, and validating detailed technical documentation that maps extracted data to business logic. This role requires strong analytical capabilities, cross-functional collaboration, and strong client communication skills.
Key Responsibilities:
  • Understand technical specifications that are written by ABAP developer on ABAP programs in ECC and S/4HANA systems.
  • Analyze technical specifications that are written to reverse engineer the custom Z-tables across modules (FI, MM, SD, HR, etc.).
  • Collaborate with functional teams to understand business logic and data dependencies.
  • Prepare comprehensive technical documentation including:
  • Data extraction logic
  • Field-level mappings
  • Business rule interpretation
  • Source-to-target lineage
  • Responsible to review the technical specification document and ask the right clarifications such that data engineers could then use the technical specification to develop data lake ETL routines.

Required Skills & Experience:
Core ABAP (ECC & S/4HANA) experience to review and validate technical specifications:
  • Classical & OO ABAP programming experience
  • ALV Reports (Classical and OO)
  • BDC, BAPI, RFC, SmartForms, Adobe Forms
  • User Exits, Customer Exits, BADIs
  • Function Modules, Modularization, Macros

Advanced ABAP (S/4HANA-centric) experience to review and validate technical specifications:
  • CDS Views (Basic & Composite)
  • AMDP (ABAP Managed Database Procedures)
  • OData Services and Fiori integration
  • ABAP RESTful Programming Model (RAP)
  • Core Data Services annotations
  • Business Object Processing Framework (BOPF)

Data Handling & Extraction experience to review and validate technical specifications:
  • Z-table extraction with joins, filters, delta logic
  • Performance tuning of SELECT statements
  • Open SQL and Native SQL usage
  • Data dictionary object creation (Z tables, views, domains, data elements)
  • Handling clustered and pooled tables (ECC legacy)

Documentation & Technical Design:
  • Technical Specification Document (TSD) preparation, review and validation
  • Field-level mapping and source-to-target lineage
  • Business logic annotation and transformation rules
  • Functional-to-technical traceability
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About Lorven technologies

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Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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