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Data Annotation Manager Jobs in Florida (NOW HIRING)

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Data Annotation Manager information

See Florida salary details

$23.2K

$72.6K

$128.5K

How much do data annotation manager jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data annotation manager in Florida is $72,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $93,800.00 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 proficiency with annotation tools and team management can influence pay levels.

Is data annotation high paying?

Data annotation managers typically earn higher salaries than entry-level annotators due to their supervisory responsibilities and expertise in labeling tools and processes. Salaries vary based on experience, location, and company size, but the role generally offers competitive pay within the data labeling industry.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation managers oversee this work, ensuring accuracy and quality using tools like labeling platforms and quality control procedures.

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.

Is it hard to get a job with data annotation?

Securing a job as a data annotation manager typically requires experience in data labeling, familiarity with annotation tools, and understanding of data quality standards. While entry-level roles may be accessible with basic skills, advancing to managerial positions often demands relevant experience and leadership abilities.

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.

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.

What are the most commonly searched types of Data Annotation jobs in Florida? The most popular types of Data Annotation jobs in Florida are:
What job categories do people searching Data Annotation Manager jobs in Florida look for? The top searched job categories for Data Annotation Manager jobs in Florida are:
What cities in Florida are hiring for Data Annotation Manager jobs? Cities in Florida with the most Data Annotation Manager job openings:
Permit Supervisor (Drafting)-Telecommunications

Permit Supervisor (Drafting)-Telecommunications

CCI Systems, Inc.

Miami, FL • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago


CCI Systems rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

236th of 356 rated engineering


Job description

Why CCI? CCI Systems, Inc. is an Employee-Owned Telecommunications Company based in Iron Mountain, MI with 60+ years of industry knowledge and experience. Our outstanding team-based work culture and environment has allowed us to grow, develop, and retain long-term employees. We offer a comprehensive benefits package, competitive pay, flexibility, paid on the job training, overtime, professional development, and inspire you to be bold, yet accountable. We value our employees’ hard work and determination and REWARD results all while having fun!

Our mission is to make life better by connecting people through innovative communication systems.

We are seeking a Permit Supervisor (Drafting) who plays a critical role in managing the permitting workflow and ensuring compliance with all applicable Federal, State, County, and Local regulations. This role requires advanced expertise in AutoCAD principles and standards, as well as Rights-of-Way permitting. The Supervisor is expected to lead the technical and administrative processes involved in the acceptance, preparation, drafting, review, and approval of permit drawings, supporting efficient and compliant project execution.

Responsibilities

  • Oversee daily operations of the CAD team, including workload allocation, priority setting, and one-on-one meetings.
  • Provide constructive feedback, conduct performance evaluations, and create career development plans.
  • Lead hiring, onboarding, and team-building initiatives to foster a high-performing culture.
  • Develop, document, and enforce CAD standards covering layers, naming conventions, annotations, plotting protocols, and file structures.
  • Maintain the CAD Standards Manual and conduct regular audits to ensure compliance.
  • Implement drawing checklists, redlining/review cycles, and approval workflows to ensure accuracy and consistency.
  • Ensure compliance with industry standards such as NCS, ISO 128, and ASME Y14.5.
  • Identify process inefficiencies and apply lean methodologies and process mapping for continuous improvement.
  • Lead automation efforts using tool palettes, LISP routines, sheet set workflows, and custom macros.
  • Strategically plan resources and estimate drafting hours to align with project timelines.
  • Monitor KPIs such as on-time delivery, rework rates, and first-pass approval; implement corrective actions as needed.
  • Collaborate with engineers, architects, and project managers to align scopes, resolve design conflicts, and manage changes.
  • Maintain accurate drawing revisions and change logs for stakeholder visibility.
  • Curate and maintain standardized blocks, dynamic blocks, detail libraries, templates, and plot styles.
  • Ensure version control and accessibility of shared content across teams and locations.
  • Develop and deliver training programs, lunch-and-learns, SOPs, and reference materials to upskill the team.
  • Provide advanced CAD support and coordinate with IT to resolve technical issues.
  • Define structured project folders, naming conventions, archiving protocols, and backup/versioning practices.
  • Manage data integrity and access permissions within PDM/CDE environments.
  • Plan and coordinate software upgrades (e.g., AutoCAD), licensing, and feature testing.
  • Perform other related duties as assigned by management.

Qualifications

  • 6+ years of professional CAD drafting/design experience, including 2+ years in a lead or supervisory role managing CAD teams and workloads.
  • Expert-level AutoCAD proficiency: dynamic blocks, xrefs, Sheet Set Manager, fields, parametric constraints, paper/model space best practices, and CTB/STB plotting.
  • Proven CAD standards development and enforcement: templates, layers/naming per NCS or equivalent, annotation styles, title blocks, and periodic standards audits.
  • Strong QA/QC capability: drawing checklists, redline/review workflows, approval gates, and familiarity with relevant codes/standards (e.g., ISO 128, ASME Y14.5/GD&T)
  • Automation/customization skills: AutoLISP/macros, and/or .NET/C#/Python scripting for tooling, batch routines, and productivity improvements.
  • Working knowledge of adjacent platforms and interoperability: Revit, Civil 3D, Plant 3D, Navisworks, IFC/DGN/DWG exchange, and coordinate systems.
  • Document and data control expertise: versioning, naming conventions, libraries (blocks/details), and experience with PDM/EDMS tools (e.g., Autodesk Vault, ProjectWise)
  • People leadership and coaching: onboarding, mentoring, performance feedback, conflict resolution, and running stand-ups and 1:1’s.
  • Project management fundamentals: scoping CAD tasks, estimating hours, scheduling, prioritizing multi-project pipelines, and managing change control.
  • Clear communicator with strong stakeholder skills: cross-discipline coordination with engineering/field teams, and ability to author SOPs, training materials, and reports for leadership.

Shift is full-time Monday – Friday between the hours of 8:00 am – 5:00 pm PST. Must be flexible and willing to work outside normal business hours as necessary.

Benefits: healthcare, retirement, paid leave (e.g., sick leave, PTO, company holidays), life insurance, AD&D, short-term disability, FSA, education reimbursement, wellness reimbursement, and employee assistance program (EAP).