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Medical Annotation Jobs in Texas (NOW HIRING)

This role combines hands-on document annotation with structured validation of automated labeling ... Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life ...

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... • Medical, Dental, and Vision Insurance • Free Breakfast, Lunch, and Dinner (where applicable ...

Location: Medical Center Office Building (901 7th Ave) Department: Pediatric Precision Health ... Experience * 2 years experience in genomic data processing, variant annotation, or large-scale data ...

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Medical Annotation information

See Texas salary details

$44.3K

$72.1K

$97.4K

How much do medical annotation jobs pay per year?

As of Jul 24, 2026, the average yearly pay for medical annotation in Texas is $72,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $83,800.00 per year, depending on experience, location, and employer.

What does a medical annotator do?

A medical annotator reviews and labels medical data such as images, clinical notes, and reports to help train machine learning models for healthcare applications. They ensure data accuracy and consistency, often using specialized tools and following strict guidelines. Attention to detail and knowledge of medical terminology are essential for this role.

What is a Medical Annotation job?

A Medical Annotation job involves labeling and categorizing medical data, such as patient records, images, or clinical notes, to train AI models in healthcare applications. Annotators ensure that data is accurately tagged for use in machine learning, often working with radiology scans, electronic health records, or biomedical texts. This role requires attention to detail and may involve domain knowledge in medicine or life sciences to ensure high-quality annotations.

How much do annotators get paid?

Medical annotators typically earn between $12 and $25 per hour, depending on experience, complexity of tasks, and the employer. Some positions offer fixed project-based rates or part-time schedules, and familiarity with annotation tools and medical terminology can influence pay rates.

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

To thrive in Medical Annotation, you need a strong background in life sciences or health care, familiarity with medical terminology, and acute attention to detail. Experience with annotation platforms, electronic health records (EHRs), and possibly certifications in medical coding or data annotation are often expected. Excellent communication, analytical thinking, and the ability to follow structured guidelines are standout soft skills. These competencies are essential to ensure the accuracy, consistency, and reliability of annotated medical data used in research, AI training, or clinical analysis.

What are the typical daily responsibilities of someone working in Medical Annotation?

In Medical Annotation, your day-to-day work often involves reviewing and labeling various types of medical data, such as clinical notes, radiology images, or laboratory reports, according to strict guidelines. You may collaborate with data scientists, healthcare professionals, or other annotators to ensure accuracy and resolve ambiguities. Attention to detail is crucial, as your annotations directly support the training of AI systems or research projects. Regular feedback sessions and audits are common to maintain high-quality standards. This role offers a mix of independent work and teamwork, fostering both focus and professional growth.

Can you actually make money with data annotation?

Medical annotation jobs are paid positions where individuals label medical data for AI training, and earnings depend on factors like experience, workload, and platform. While some annotators earn a steady income, pay rates vary widely, and it is generally considered a part-time or freelance opportunity rather than a full-time career. Developing skills in relevant tools and maintaining accuracy can improve earning potential.

What qualifications do I need for data annotation?

For medical annotation roles, candidates typically need a background in healthcare, life sciences, or related fields, along with strong attention to detail and familiarity with medical terminology. Basic computer skills and experience with annotation tools or software are also important. Some positions may require certification or training in medical coding or data management.
What are the most commonly searched types of Medical Annotation jobs in Texas? The most popular types of Medical Annotation jobs in Texas are:
What job categories do people searching Medical Annotation jobs in Texas look for? The top searched job categories for Medical Annotation jobs in Texas are:
What cities in Texas are hiring for Medical Annotation jobs? Cities in Texas with the most Medical Annotation job openings:
Infographic showing various Medical Annotation job openings in Texas as of July 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $72,118 per year, or $34.7 per hour.
Data Labelers

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Job description

Job#: 3036156
Job Description:
Data Labelers
Location: Austin, Texas (Onsite)
Role Overview
We are seeking detail-oriented Data Labeling & Validation Specialists to support OCR and Intelligent Document Processing (IDP) systems. This role combines hands-on document annotation with structured validation of automated labeling outputs. You will be a key part of the human-in-the-loop pipeline, ensuring machine learning models are trained on high-quality, accurate ground truth data. Success in this role requires prior hands-on annotation experience and the ability to evaluate whether automated outputs meet quality expectations, identify error patterns, and provide structured feedback to improve model performance.
Key Responsibilities
  • Annotate semi-structured and unstructured documents across diverse formats and domains.
  • Perform labeling across key IDP elements, including text recognition (handwriting), document classification, field extraction (PII, dates, amounts, signatures), and table detection.
  • Label document layout elements such as zones, reading order, and hierarchy.
  • Verify OCR output accuracy and correct recognition errors.
  • Handle complex or ambiguous document formats beyond automated capabilities.
  • Maintain high levels of accuracy and consistency across all annotation tasks.
  • Review sampled subsets of auto-labeled outputs and validate against ground truth.
  • Identify, categorize, and document errors, distinguishing between isolated issues and systematic failure patterns.
  • Provide structured, actionable feedback to ML engineering teams.
  • Assess confidence scores and flag outputs below quality thresholds.
  • Track validation metrics over time and identify quality trends.
  • Review annotations completed by other team members to ensure consistency.
  • Identify and document edge cases (e.g., unusual layouts, ambiguous fields).
  • Participate in calibration sessions to align on annotation standards.
  • Provide feedback to improve annotation guidelines and workflows.
  • Adhere strictly to data privacy and confidentiality standards.
Required Qualifications
Education & Experience:
  • High school diploma or equivalent.
  • 1+ year of hands-on experience in document annotation or data labeling (direct annotation required).
  • Proven ability to maintain high accuracy in repetitive, detail-oriented tasks.
  • Experience working with and following annotation guidelines.

Technical Skills:
  • Familiarity with annotation tools and labeling platforms.
  • Understanding of document structure and layout types.
  • Basic knowledge of data privacy and security practices.
  • Reliable computer and high-speed internet connection.
  • Strong English reading comprehension and written communication skills.

Analytical Skills:
  • Ability to distinguish between isolated errors and systematic issues.
  • Strong pattern recognition across large datasets.
  • Critical thinking to evaluate ambiguous cases and escalate appropriately.
  • High attention to detail when reviewing auto-generated outputs.
Preferred Qualifications
  • Associate's or Bachelor's degree.
  • 1-2 years of experience in OCR, IDP, or document labeling workflows.
  • Experience with auto-labeling systems or AI-assisted annotation tools.
  • Background reviewing or auditing machine-generated outputs.
  • Familiarity with inter-annotator agreement and data quality metrics.
  • Domain expertise in document-heavy industries (e.g., finance, legal, healthcare).
  • Proficiency in languages beyond English.
  • Experience with spreadsheets, data tracking, or reporting tools.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
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