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Data Annotation Project Manager Jobs in Florida (NOW HIRING)

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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Data Annotation Project Manager information

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

To thrive as a Data Annotation Project Manager, you need strong project management skills, a solid understanding of data annotation processes, and experience with quality assurance, often supported by a degree in a relevant field. Familiarity with annotation tools (like Labelbox or Supervisely), workflow management platforms, and sometimes agile or PMP certification is highly beneficial. Exceptional communication, attention to detail, and leadership abilities help you effectively coordinate teams and ensure project deliverables meet quality standards. These skills are essential for managing complex annotation projects efficiently, maintaining data integrity, and supporting successful machine learning outcomes.

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

One of the primary challenges Data Annotation Project Managers face is ensuring high-quality, consistent labeling across large and sometimes distributed annotation teams. Managing tight deadlines while maintaining annotation accuracy requires effective training, clear guidelines, and regular quality checks. Additionally, balancing communication between data scientists, clients, and annotators is crucial to align expectations and resolve ambiguities quickly. Successful managers often implement robust feedback loops, leverage annotation tools with built-in quality control features, and foster an open environment for continuous improvement.

What is a Data Annotation Project Manager?

A Data Annotation Project Manager is responsible for overseeing projects that involve labeling and categorizing data, such as images, text, or audio, to train machine learning models. They coordinate teams of annotators, manage project timelines, and ensure the quality and accuracy of the annotated data. This role often acts as a bridge between data scientists, clients, and annotation teams, ensuring project requirements are met efficiently and effectively.

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

AspectData Annotation Project ManagerData Labeling Specialist
CredentialsTypically requires project management experience, certifications in data management or related fieldsOften requires basic technical skills, familiarity with labeling tools, sometimes certifications in data annotation
Work EnvironmentOversees teams, manages projects, coordinates workflows in office or remote settingsPerforms labeling tasks, often in a remote or on-site environment, focused on data tagging
Employer & Industry UsageUsed by tech companies, AI firms, and data service providers for managing annotation projectsEmployed within similar industries, focusing on executing labeling tasks under supervision

The main difference is that the Data Annotation Project Manager oversees and coordinates annotation projects, ensuring quality and deadlines, while the Data Labeling Specialist focuses on executing the labeling tasks themselves. Both roles are essential in the data annotation process but differ in responsibilities and scope.

What are popular job titles related to Data Annotation Project Manager jobs in Florida? For Data Annotation Project Manager jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Data Annotation Project Manager jobs? Cities in Florida with the most Data Annotation Project Manager job openings:
Infographic showing various Data Annotation Project Manager job openings in Florida as of May 2026, with employment types broken down into 5% Internship, 90% Full Time, and 5% Contract. Highlights an 76% In-person, and 24% Remote job distribution.
Spanish Data Annotator Specialist (Based in NY)

Spanish Data Annotator Specialist (Based in NY)

Welo Data

Jacksonville, FL

$28/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago


Job description

OVERVIEW

We are seeking a QA Analyst - Data Annotation Specialist to contribute to a high-profile technology project. The ideal candidate will have a foundational understanding of quality assurance, data annotation, and data handling. Additionally, they must be fully proficient in English (U.S.) and Spanish (Spain) and possess excellent communication skills. They will play a pivotal role in ensuring the quality and accuracy of the project data.

Project Details

Job Title: QA Analyst - Data Annotation Specialist

Location: On-site at one of our offices office in South Bay, CA (Menlo Park or Sunnyvale)

Hours: 40 hours weekly

Language: Spanish (Spain)

Start date: Mid-January 2025

Employment Type: W-2 Contract

Duration: At least 12 months (with potential for extension)

Pay rate: $28/Hour

Must have valid work authorization in the US (We do not sponsor VISAs at this time)

Responsibilities

    • Conduct data annotation and QA
    • Collaborate with team members on-site
    • Ensure secure handling of data and maintain confidentiality

Requirements

    • Proficiency in English (US) and Spanish (Spain) at a fully fluent level is required.
    • At least 1-2 years of data annotation experience
    • Visual annotation experience is a plus (Video & Image)
    • Experience in quality assurance
    • Excellent communication skills
    • Augmented Reality experience is a plus
    • No technical skills needed, but a linguistic background and/or formal QA experience is required
    • Ability to work 100% on-site
    • Strong attention to detail and problem-solving skills

Benefits

    • Paid Sick Time
    • Employee Assistance Program  
    • Following eligibility requirements: Medical Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Voluntary Life Insurance
    • Accident, Critical Illness, Hospital Indemnity Insurance
    • 401(k) Retirement Plan

$28 - $28 an hour

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.