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Data Annotation Manager Jobs in Memphis, TN (NOW HIRING)

Data Annotation Manager information

See Memphis, TN salary details

$27.5K

$86.2K

$152.7K

How much do data annotation manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data annotation manager in Memphis, TN is $86,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $111,400.00 per year, depending on experience, location, and employer.

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.

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

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 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 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 Memphis, TN?

The most popular types of Data Annotation jobs in Memphis, TN are:

What are popular job titles related to Data Annotation Manager jobs in Memphis, TN?

For Data Annotation Manager jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Data Annotation Manager jobs in Memphis, TN look for?

The top searched job categories for Data Annotation Manager jobs in Memphis, TN are:

Senior Image Data Scientist-Center for Bioimage Informatics

St. Jude Children's Research Hospital, Inc.

Memphis, TN • On-site

$86.32 - $154.96/hr

Other

Re-posted 9 days ago


St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

43rd of 1,061 rated hospitals


Job description

Overview

The Center for Bioimage Informatics at St. Jude Children's Research Hospital is seeking a Senior Image Data Scientist to design, develop, validate, document, and operate image-analysis pipelines and visualization solutions for biomedical imaging research. The role works closely with investigators, software engineers, data scientists, imaging facility scientists, and biostatisticians to translate scientific questions into reproducible, scalable analysis workflows using modern image analysis, statistical, computer vision, and machine learning approaches.

Responsibilities
  • Design, develop, validate, document, and operate image‑analysis pipelines and visualization solutions.
  • Support image data management and maintain analysis software and repositories.
  • Evaluate new methods and tools, and provide technical consultation and training to research teams.
  • Serve as a project lead to coordinate image‑analysis efforts and align related projects.
  • Contribute to shared CBI infrastructure that supports routine and advanced bioimage analysis.
Applicant Statement

Applicants are encouraged to include a brief cover letter or supplemental statement with a link to representative work, such as a public repository, napari plugin, published pipeline, or comparable artifact. The statement should briefly describe one end‑to‑end image‑analysis project or software tool the applicant has owned in production, including the biological or scientific question, data scale, methods or model used, pipeline design, validation approach, user adoption, and resulting impact.

Preferred Qualifications
  • PhD in a relevant quantitative, computational, biomedical, or scientific field.
  • Experience developing, validating, and maintaining image‑analysis pipelines for biological or medical imaging data.
  • Strong programming skills in Python and experience with modern computer vision, machine learning, deep learning, or statistical image‑analysis methods.
  • Experience with emerging AI methods relevant to bioimage analysis (vision transformers, foundation models, generative AI, large language models, or agentic AI tools).
  • Experience with scalable and reproducible scientific workflows (e.g., Snakemake, Nextflow), containers, version control, and HPC or cloud environments.
  • Demonstrated experience using modern bioimaging tools, data standards, and open‑source ecosystems such as napari, ImageJ/Fiji, Cellpose, SAM‑family and related foundation segmentation models, QuPath, BioFormats, OME‑Zarr/NGFF, or similar platforms.
  • Experience with large image data volumes, image data management, quality control, benchmarking, annotation strategies, and method evaluation.
  • Demonstrated ability to collaborate with research teams, communicate technical results clearly, write user‑facing documentation, and provide training through courses, workshops, seminars, or similar formats.
  • Evidence of technical leadership (leading multi‑lab projects, contributing to shared infrastructure, publishing methods, or contributing to open‑source scientific software).
Minimum Education and Training
  • Bachelor's degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering, or related field (required).
  • Master's degree preferred.
Minimum Experience
  • 3+ years of work experience in a relevant area for a Bachelor's degree, or 1+ years of relevant experience for a Master's degree.
  • Experience in image analysis, image data management, and programming (Python, R, Matlab, Java, C/C++).
  • Experience in image analysis platforms (ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, code optimization and evaluation in an HPC environment, development of algorithms, statistical methods or scientific software, working with large image data volumes, biological/medical imaging preferred.
  • Proven performance in an earlier or comparable role.
Compensation

Estimated salary range for this role is $86,320 - $154,960 per year.

Equal Opportunity Employer

St. Jude is an Equal Opportunity Employer.

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