ZipRecruiter

Log In

2

Remote Medical Data Annotation Jobs in Texas (NOW HIRING)

next page

Showing results 1-20

All JobsRemote Medical Data Annotation JobsRemote Medical Data Annotation Jobs in Texas

Remote Medical Data Annotation information

What are the key skills and qualifications needed to thrive as a Remote Medical Data Annotation Specialist, and why are they important?

To excel as a Remote Medical Data Annotation Specialist, you need a background in medical terminology, attention to detail, and familiarity with healthcare data formats, often supported by a degree or certification in a health-related field. Proficiency with annotation tools, electronic health record (EHR) systems, and data management platforms is typically required. Strong communication, time management, and analytical thinking are essential soft skills for accurate labeling and collaboration with remote teams. These competencies ensure that annotated data is reliable and precise, which is crucial for developing effective medical AI systems and supporting clinical research.

What are some common challenges faced by remote medical data annotation specialists, and how can they be overcome?

Remote medical data annotation specialists often encounter challenges such as maintaining data accuracy, understanding complex medical terminology, and managing communication with clinical teams. To overcome these, it's important to stay up-to-date with medical guidelines, participate in regular training sessions, and use collaboration tools to clarify medical ambiguities with colleagues or supervisors. Additionally, creating a structured daily workflow and setting up a distraction-free workspace can help maintain focus and accuracy when working with sensitive healthcare data.

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

AspectRemote Medical Data AnnotationRemote Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology knowledge, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, healthcare data labelingMedical record documentation
Common Search IntentData annotation, AI training jobsTranscription, medical record jobs

Both roles are remote and involve healthcare data, but Medical Data Annotation focuses on labeling data for AI models, while Medical Transcription involves converting audio recordings into written reports. Understanding these differences helps job seekers find the right fit in the healthcare data industry.

What is remote medical data annotation?

Remote medical data annotation involves labeling or tagging medical data—such as images, text, or audio—using specialized software, all while working from a location outside of a traditional office or lab. Annotators help create high-quality datasets that are essential for training machine learning models used in medical research and diagnostics. This work can include identifying areas of interest on medical scans, categorizing patient records, or transcribing audio notes. Remote annotation roles require attention to detail, a basic understanding of medical terminology, and adherence to privacy regulations like HIPAA. The position is vital for advancing artificial intelligence in healthcare.
What are the most commonly searched types of Medical Data Annotation jobs in Texas? The most popular types of Medical Data Annotation jobs in Texas are:
What are popular job titles related to Remote Medical Data Annotation jobs in Texas? For Remote Medical Data Annotation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Medical Data Annotation jobs in Texas look for? The top searched job categories for Remote Medical Data Annotation jobs in Texas are:
What cities in Texas are hiring for Remote Medical Data Annotation jobs? Cities in Texas with the most Remote Medical Data Annotation job openings:
Remote Medical Data Annotation jobs near you
Infographic showing various Remote Medical Data Annotation job openings in Texas as of June 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 100% Remote job distribution.
Remote AI Analyst

Remote AI Analyst

Turing

Corpus Christi, TX • Remote

Other

Posted 10 days ago

Job description

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project. Open to recent graduates, professionals, and anyone interested in AI. If you actively use Google Wallet, you may already qualify for this exciting paid opportunity. No specialized technical background is required—just your everyday experience, attention to detail, and willingness to work with advanced AI tools. Earn while helping shape the future of AI.


About Turing:

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality.


Role Overview :

Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet evaluation project. This is a Generalist role and do not require candidates from any specific background. In this role, you will interact with Gemini models, execute evaluation workflows, review model responses, and document findings using Google Sheets.


Duration of Contract - 10 weeks

Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap


What You'll Do Day-to-Day :

- Evaluate Gemini model responses by submitting prompts and assessing output quality, accuracy, and relevance.

- Review and document evaluation results, ratings, and observations using Google Sheets.

- Participate in Google Wallet-related testing scenarios and provide structured feedback on user experiences.

- Follow project guidelines and quality standards to support AI model improvement and evaluation objectives.


Requirements :

- Must be based in the United States and actively use Google Wallet.

- Must have at least one linked payment method (credit card, debit card, or bank account) and a minimum of 5 passes stored in Google Wallet.

- Must have a Plaid account or be willing to connect a bank account through Plaid for project participation.

- Must be comfortable using Google Wallet, linked payment methods, and Plaid connectivity as part of evaluation activities.

- Strong attention to detail, analytical thinking, and ability to follow structured guidelines.

- Experience with Google Sheets and familiarity with Gemini or other generative AI tools is preferred.

- Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Apply