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Medical Image Annotation Jobs in Missouri (NOW HIRING)

Medical Image Annotation information

What is medical image annotation?

Medical image annotation is the process of labeling or marking specific structures, regions, or abnormalities in medical images such as X-rays, CT scans, or MRIs. These annotations are crucial for training artificial intelligence (AI) models to assist in diagnostics, research, and treatment planning. Expert annotators, often with medical backgrounds, use specialized software to ensure accuracy and consistency. This work helps improve the performance of AI systems in identifying diseases and supporting healthcare professionals.

What are the key skills and qualifications needed to thrive as a medical image annotation specialist?

To excel as a Medical Image Annotation Specialist, you need a solid understanding of medical imaging modalities, anatomy, and basic clinical terminology, often supported by relevant education or experience in healthcare or life sciences. Familiarity with annotation software, image processing tools, and sometimes specialized platforms like DICOM viewers is typically required. Attention to detail, precision, and effective communication are crucial soft skills for ensuring accuracy and collaborating with clinical or research teams. These competencies are vital because high-quality, accurate annotations directly impact the development of AI models and the reliability of diagnostic tools in healthcare.

What are some common challenges faced by professionals in medical image annotation roles, and how can they be addressed?

Medical image annotation professionals often encounter challenges such as interpreting complex or ambiguous images, ensuring consistency across annotations, and keeping up with evolving medical guidelines. To address these challenges, many teams implement standardized protocols, regular training sessions, and peer review systems to maintain accuracy and reliability. Collaboration with radiologists and other medical experts is also common, allowing annotators to clarify uncertainties and improve the quality of annotations over time.

What is the difference between Medical Image Annotation vs Medical Data Labeling?

AspectMedical Image AnnotationMedical Data Labeling
Required CredentialsBasic understanding of medical imaging, attention to detailSimilar, often no formal certification needed
Work EnvironmentMedical imaging platforms, annotation toolsData management systems, labeling software
Industry UsageHealthcare, medical AI developmentHealthcare, medical AI, data analysis
Search & Comparison IntentYes, often compared for AI training rolesYes, related but broader in data types

Medical Image Annotation involves marking specific regions or features in medical images like X-rays or MRIs to train AI models. Medical Data Labeling encompasses annotating various medical data types, including images, text, and reports. While both roles support medical AI development, Image Annotation is specialized in visual data, whereas Data Labeling covers a wider range of medical information.

What are popular job titles related to Medical Image Annotation jobs in Missouri?

For Medical Image Annotation jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Medical Image Annotation jobs in Missouri look for?

The top searched job categories for Medical Image Annotation jobs in Missouri are:

What cities in Missouri are hiring for Medical Image Annotation jobs?

Cities in Missouri with the most Medical Image Annotation job openings:

Multilingual Data Annotation Specialist

California, MO • On-site

Zefr
Software Development • 51 - 200 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

What we do:

Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Zefr’s solutions empower brands to manage their content adjacency on scaled platforms such as YouTube, Meta, TikTok, and Snap, in accordance with industry standard frameworks. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent solutions for social walled gardens. The company is headquartered in Los Angeles, California, with additional locations across the globe.

What you’ll do:

We are hiring a Multilingual Data Annotation Specialist to support the training and performance of Zefr’s advanced AI systems. In this role, you will annotate videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap.

High quality human annotation is foundational to how our machine learning systems interpret, classify, and evaluate content at scale. Your work will directly shape the accuracy and integrity of our AI solutions.

We are looking for someone curious about machine learning and computer vision, energized by nuanced decision making, and committed to delivering precise, thoughtful work. The ideal candidate is self-directed, analytical, proactive, and comfortable navigating ambiguity. Candidates should value clarity, ask smart questions, and continuously seek opportunities to improve processes.

Here’s what you’ll get to do:
  • Use internal tools to label social media content according to Zefr’s contextual category guidelines.

  • Conduct daily annotation and quality evaluation across video, image, and metadata formats.

  • Apply cognitive and cultural nuance when making judgment calls on complex or sensitive content.

  • Interpret, apply, and help refine labeling frameworks and documentation.

  • Identify emerging trends or edge cases and surface potential issues to stakeholders.

  • Conduct root cause analyses to identify opportunities for improving content quality.

  • Provide insights on content patterns and contribute to enhancements of the labeling interface.

  • Generate weekly reports with findings and quality recommendations.

  • Perform quality assurance across multiple project pipelines.

  • Maintain up-to-date knowledge of Zefr policies and proactively suggest optimization opportunities.

  • Gain foundational exposure to machine learning concepts and develop an understanding of how high quality annotation data powers AI systems.

Here’s what we’re looking for: Language Requirements:
  • Fluency in English and Hindi is required.

  • Fluency in Spanish, Mandarin, Turkish, Tagalog, or others are a plus.

Qualifications and Experience:
  • Professional experience in annotation, content moderation, labeling, quality assurance, or policy enforcement.

  • Strong cultural fluency and ability to interpret contextual nuance across varied content types.

  • Familiarity with major social media platforms including TikTok, YouTube, Facebook, Instagram, and Snapchat.

  • Exceptional attention to detail with the ability to perform repetitive tasks with consistency and accuracy.

  • Strong written communication skills, particularly in explaining ambiguity, inconsistencies, or definitional drift.

  • Ability to apply style guides and enforce consistency across diverse content formats.

  • Experience using AI tools such as Claude, Gemini, ChatGPT, or similar technologies.

  • Proficiency in Google Workspace applications.

  • Familiarity with SQL is a plus.

Working Style and Mindset:
  • Reliable, self motivated, and capable of delivering high quality work independently.

  • Strong analytical thinking and structured problem solving skills.

  • Comfortable working in a fast-paced environment with shifting priorities.

  • Work with sensitive content, including political topics, religious perspectives, violence, and adult material.

  • Effective collaborator who can also operate autonomously.

  • Willing to work a hybrid schedule with 2 to 3 days per week in our Marina del Rey office.

  • Ability to appropriately handle confidential and proprietary information with sound judgment.

Benefits (for US based employees):
  • Flexible PTO

  • Medical, dental, and vision insurance with FSA options

  • Company-paid life insurance

  • Paid parental leave

  • 401(k) with company match

  • Professional development opportunities

  • 13 paid holidays off

  • Flexible hybrid work schedules

  • “Summer Fridays” (shorter work days on select Fridays during the summertime)

  • In-office lunches and lots of free food

  • Optional in-person and virtual events (we like to celebrate!)

Compensation (for US based employees):

The anticipated salary for this position is 70,500. Individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.

Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.

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