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Data Annotation Engineer Jobs in Louisiana (NOW HIRING)

Data Annotation Engineer information

See Louisiana salary details

$44K

$126.1K

$168.5K

How much do data annotation engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data annotation engineer in Louisiana is $126,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $167,600.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Louisiana? For Data Annotation Engineer jobs in Louisiana, the most frequently searched job titles are:
What cities in Louisiana are hiring for Data Annotation Engineer jobs? Cities in Louisiana with the most Data Annotation Engineer job openings:
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 10 days ago


Tulane University rating

6.9

Company rating: 6.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

386th of 535 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
Equal Employment Opportunity Statement
Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities.
Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.

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