Healthcare Research Data Annotator
Alignerr · United States
- Hybrid
- Contract
- $45,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Annotate and verify clinical research data for medical AI.
- Ensure quality and safety of healthcare AI systems.
- Work remotely with flexible, asynchronous hours.
- Utilize healthcare or STEM background.
- Contribute to cutting-edge AI research.
About the role
About The Role
We're looking for detail-oriented professionals to label and verify clinical and research datasets that power the next generation of medical AI. Your careful judgment and domain awareness will directly influence the quality and safety of AI systems used in healthcare research — meaningful work that matters beyond the screen.
Type: Hourly Contract
Location: Remote
Commitment: Flexible hours
What You'll Do
- Review and annotate clinical and research datasets with accuracy and consistency
- Apply high-quality labels to complex medical data following structured guidelines
- Verify existing annotations for correctness and completeness
- Identify ambiguities or edge cases and escalate appropriately
- Maintain a high standard of data quality across all assigned tasks
- Work independently and asynchronously at your own pace
Who You Are
- Strong attention to detail and comfort working with complex, structured information
- Background or familiarity in healthcare, clinical research, biology, or a related STEM field
- Ability to follow detailed annotation guidelines precisely and consistently
- Self-motivated and reliable when working independently
- Clear written communication skills
- Prior annotation or data labeling experience is a plus but not required
Nice to Have
- Experience in clinical documentation, medical coding, or biomedical research
- Familiarity with electronic health records (EHR) or medical terminology
- Prior work in data quality, research coordination, or healthcare informatics
Why Join Us
- Contribute directly to cutting-edge medical AI research
- Fully remote and flexible — work on your schedule
- Freelance autonomy with meaningful, intellectually engaging tasks
- Collaborate with researchers and data teams on high-impact projects
- Potential for ongoing work and contract extension
Key skills/competency
- Healthcare Research Data Annotator
- Medical AI
- Clinical Data Annotation
- Data Labeling
- Data Quality
- Medical Terminology
- Biomedical Research
- STEM
- Attention to Detail
- Remote Work
Skills & topics
- Healthcare Research Data Annotator
- Data Annotation
- Medical AI
- Clinical Data
- Data Labeling
- Healthcare
- STEM
- Remote
- Flexible Hours
- Contract
How to get hired
- Tailor your resume: Highlight relevant healthcare, STEM, or data annotation experience.
- Showcase attention to detail: Emphasize precision and consistency in past roles.
- Demonstrate self-motivation: Provide examples of independent, reliable work.
- Articulate domain knowledge: Clearly state your familiarity with clinical research or medical terms.
- Follow instructions carefully: Ensure your application precisely matches requirements.
Technical preparation
Study medical terminology and clinical concepts.,Familiarize yourself with data annotation tools.,Practice identifying patterns in complex data.,Review AI ethics and data privacy principles.
Behavioral questions
Describe a time you handled complex data.,How do you ensure accuracy in repetitive tasks?,Give an example of working independently.,How do you interpret and follow detailed guidelines?
Frequently asked questions
- What kind of medical data will I be annotating as a Healthcare Research Data Annotator at Alignerr?
- As a Healthcare Research Data Annotator at Alignerr, you will be labeling and verifying clinical and research datasets. These datasets are crucial for developing and improving the next generation of medical AI systems.
- Is this Healthcare Research Data Annotator role remote or on-site?
- This Healthcare Research Data Annotator position is fully remote, offering flexibility in where you work from.
- What is the expected commitment for the Healthcare Research Data Annotator role?
- The commitment for this Healthcare Research Data Annotator role is flexible hours. You can work on your own schedule, allowing for asynchronous work.
- Do I need prior data annotation experience to apply for the Healthcare Research Data Annotator job at Alignerr?
- Prior annotation or data labeling experience is a plus but not required for the Healthcare Research Data Annotator role. A strong background in healthcare, STEM, and attention to detail are key.
- What are the essential qualifications for the Healthcare Research Data Annotator position?
- Essential qualifications for the Healthcare Research Data Annotator role include strong attention to detail, comfort with complex information, a background in healthcare or STEM, and the ability to follow detailed guidelines precisely. Self-motivation and clear communication are also important.
- What are the 'nice to have' qualifications for this Healthcare Research Data Annotator role?
- Nice to have qualifications for the Healthcare Research Data Annotator role include experience in clinical documentation, medical coding, biomedical research, familiarity with EHRs, medical terminology, data quality, research coordination, or healthcare informatics.
- How does the work of a Healthcare Research Data Annotator impact medical AI?
- As a Healthcare Research Data Annotator, your careful judgment and domain awareness directly influence the quality and safety of AI systems used in healthcare research. This ensures AI tools are reliable and effective.
- What kind of support can I expect as a freelance Healthcare Research Data Annotator at Alignerr?
- As a freelance Healthcare Research Data Annotator, you will collaborate with researchers and data teams on high-impact projects. The role offers intellectual engagement and the potential for ongoing work and contract extensions.