ZipRecruiter

Log In

1

Freelance Medical Data Annotation Jobs in Tennessee

micro1 AI

AI Trainer - Microbiology Expert

Memphis, TN · Remote

$70 - $90/hr

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

next page

Showing results 1-20

All JobsMedical Data Annotation JobsFreelance Medical Data Annotation JobsFreelance Medical Data Annotation Jobs in Tennessee

Freelance Medical Data Annotation information

What is freelance medical data annotation?

Freelance medical data annotation involves labeling or tagging medical data—such as images, text, or audio—to make it usable for artificial intelligence and machine learning models. Annotators may work with radiology images, pathology slides, electronic health records, or clinical notes, identifying and marking relevant features according to specific guidelines. This work is typically project-based and done remotely, requiring attention to detail and, often, some background in healthcare or life sciences. Freelancers collaborate directly with medical researchers, healthcare companies, or AI firms to help train and validate algorithms that improve medical diagnostics and research.

What are the key skills and qualifications needed to thrive as a freelance medical data annotator?

To thrive as a Freelance Medical Data Annotator, you need a solid understanding of medical terminology, attention to detail, and experience with data labeling or annotation, often supported by a background in healthcare or life sciences. Familiarity with annotation platforms, electronic health record (EHR) systems, and relevant data security standards is typically required. Strong organizational skills, self-motivation, and clear communication are important soft skills for meeting deadlines and collaborating remotely. These abilities ensure high-quality, accurate data annotations that are crucial for developing reliable healthcare AI models and research outcomes.

What are some common challenges faced by freelance medical data annotators and how can they be managed?

Freelance medical data annotators often encounter challenges such as understanding complex medical terminology, ensuring high annotation accuracy, and maintaining data privacy. Since projects may involve a variety of medical data types (like radiology images or clinical notes), it's important to stay updated on medical guidelines and annotation best practices. Effective time management, attention to detail, and regular communication with project managers or medical experts can help address these challenges and ensure quality work. Additionally, using secure platforms and adhering to confidentiality agreements is essential for protecting patient information.

What is the difference between Freelance Medical Data Annotation vs Freelance Medical Transcription?

AspectFreelance Medical Data AnnotationFreelance Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology familiarity, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, data labeling for healthcareTranscribing doctor-patient recordings
Search & Comparison IntentData labeling vs transcription tasks

Freelance Medical Data Annotation involves labeling and tagging medical images or data for AI models, requiring medical knowledge and attention to detail. Freelance Medical Transcription focuses on converting audio recordings into written reports, emphasizing typing skills and medical terminology familiarity. Both roles are remote and essential in healthcare, but they serve different purposes in medical data processing and documentation.

What are the most commonly searched types of Medical Data Annotation jobs in Tennessee?

The most popular types of Medical Data Annotation jobs in Tennessee are:

What are popular job titles related to Freelance Medical Data Annotation jobs in Tennessee?

For Freelance Medical Data Annotation jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Freelance Medical Data Annotation jobs in Tennessee look for?

The top searched job categories for Freelance Medical Data Annotation jobs in Tennessee are:

What cities in Tennessee are hiring for Freelance Medical Data Annotation jobs?

Cities in Tennessee with the most Freelance Medical Data Annotation job openings:

Freelance Medical Data Annotation jobs near you
Infographic showing various Freelance Medical Data Annotation job openings in Tennessee as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

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 8 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 1,060 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.

#J-18808-Ljbffr

What St. Jude Children's Research Hospital employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply