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Data Annotation Manager Jobs in Louisiana (NOW HIRING)

EN Engineering LLC

Structural Designer

Shreveport, LA · Remote

Add annotation and dimensions to foundation location plans, sections, and details to PDF for review ... Ability to self-manage workload and supervise a small design team to execute results * Organization:

All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Louisiana

Data Annotation Manager information

See Louisiana salary details

$26.5K

$83.1K

$147.1K

How much do data annotation manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data annotation manager in Louisiana is $83,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $107,300.00 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.

What are the most commonly searched types of Data Annotation jobs in Louisiana? The most popular types of Data Annotation jobs in Louisiana are:
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Data Annotation Manager jobs near you
Postdoctoral Fellow, Clinical Neuroscience_Zha Lab

Postdoctoral Fellow, Clinical Neuroscience_Zha Lab

Tulane University

New Orleans, LA • On-site

$47K - $63K/yr

Full-time

Posted 27 days ago

Tulane University rating

7.1

Company rating: 7.1 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

408th of 611 rated colleges and universities

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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