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Data Annotation Project Manager Jobs in Slidell, LA

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Preferred - Certification in Project Management. Knowledge Skills and Abilities (KSAs) * Effective ... Data analysis skills and ability to evaluate data and translate into meaningful information.

SAP EWM Senior Manager

New Orleans, LA · On-site

$124K - $280K/yr

... data-driven insights for strategic decision-making - Leading complex supply chain transformation projects - Excelling in project resource management and cost efficiency - Innovating warehouse ...

Tabulate, prepare, and submit data and observation in the form of written and digital reports as work is performed for daily transmittal to the Terracon Project Manager. Maintain and clean equipment ...

Take ownership of projects, ensuring their successful planning, budgeting, execution, and ... As a Manager you can lead the development of data models, support compliance with data governance ...

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS ... Good project management, time management and organizational skills * Excellent conversational and ...

Showing results 41-60

Data Annotation Project Manager information

See Slidell, LA salary details

$14

$49

$69

How much do data annotation project manager jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data annotation project manager in Slidell, LA is $49.84, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $58.32 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a data annotation project manager?

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 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 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 job categories do people searching Data Annotation Project Manager jobs in Slidell, LA look for? The top searched job categories for Data Annotation Project Manager jobs in Slidell, LA are:
Infographic showing various Data Annotation Project Manager job openings in Slidell, LA as of June 2026, with employment types broken down into 70% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $103,657 per year, or $49.8 per hour.

Postdoctoral Fellow, Clinical Neuroscience_Zha Lab

Tulane University

New Orleans, LA • On-site

$47K - $63K/yr

Full-time

Re-posted 12 days ago


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Company rating: 7.1 out of 10

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Job description

Description
The Postodoctoral Fellow is required to manage data projects in the Tulane Center for Clinical Neurosciences. He/she will be responsible for the creation, updating, maintenance, quality control and filtering, validation, security and analyses of research projects databases; along with multiplatform system programming and provision of computerized reports as needed. He/she will also be responsible for developing bioinformatics and data analysis protocols and pipelines, and assisting with faculty analytic projects with a variety of other study related tasks, in compliance with standard operating procedures and regulatory agencies guidelines.
The Postdoctoral Fellowis responsible for all aspects of data analysis, including cleaning, organizing, managing, and monitoring data as well as composition of tables and figures to convey results. The He/She is responsible for writing reports, designing presentations and summarizing the findings from analysis. He/She assists with development of works for publication from study results, as well as compilation of any other research-related activities deemed necessary by the principal investigators for the success of the research projects.
Additionally, He/She will support the preparation and revision of internal and external written and visual materials to support academic productivity. The incumbent will collaborate with the Neuroscience team and work on a wide range of materials to include but not be limited to create, review, and edit neuroscience presentations, and review and edit grants, grant materials, and manuscripts for publication. He/She will apply established principles of writing and Tulane style and branding guidelines. He/She will develop an understanding of Tulane Neurosciences, which will allow them to create and edit materials with content, tone, and technical aspects aligned with Tulane Neuroscience objectives, editorial and brand tone and style, and the School's mission, vision, and values.
Qualifications
*Ph.D. or M.D., within 6 months of hiring
  1. Proficient in management, annotation, imputation and analysis of large scale genomics data
  2. Proficient in the Microsoft Office Suite.
  3. Proficient using a variety of genomic analysis software.
  4. Excellent organizational, communication and interpersonal skills
  5. Highly organized and detail oriented.
  1. Ability to pay attention to detail with a high degree of accuracy.
  2. Ability to work independently as well as part of a team.

Application Instructions
Please submit an application using Interfolio via the "Apply Now" button on this page.
Applicants are asked to provide their CV for review by the search committee. You may upload additional materials to your application.
Applications will be reviewed on an ongoing basis until the position is filled. If you have any questions about the application process please contact Kevin Grant at Kgrant5@tulane.edu

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