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.
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Job highlights
- Annotate and verify clinical research datasets.
- Ensure quality for medical AI systems.
- Work remotely with flexible hours.
- Requires attention to detail and STEM background.
- Meaningful work in cutting-edge AI.
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.
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
- Data Annotation
- Clinical Data
- Research Datasets
- Data Labeling
- Data Quality
- STEM
- Attention to Detail
- Medical Terminology
Skills & topics
- Healthcare Research Data Annotator
- Medical AI
- Data Annotation
- Clinical Data
- Research Datasets
- Data Labeling
- Data Quality
- Remote Work
- Flexible Hours
- Healthcare
- STEM
- Biology
- Clinical Research
- Contract
- Hourly
How to get hired
- Tailor your resume: Highlight healthcare, STEM, and data annotation experience.
- Emphasize attention to detail: Showcase your ability to follow guidelines precisely.
- Showcase self-motivation: Provide examples of working independently and meeting deadlines.
- Highlight domain knowledge: Detail any experience in clinical research or related fields.
- Prepare for remote work: Demonstrate your reliability and communication skills.
Technical preparation
Master annotation guideline details.,Practice labeling complex data examples.,Familiarize with medical terminology.,Understand AI data quality principles.
Behavioral questions
Describe a time you followed complex instructions.,How do you ensure accuracy in repetitive tasks?,How do you manage your time working remotely?,Tell us about a complex data problem you solved.
Frequently asked questions
- What does a Healthcare Research Data Annotator do at Alignerr?
- As a Healthcare Research Data Annotator at Alignerr, you will label and verify clinical and research datasets crucial for developing next-generation medical AI. This involves applying precise labels, ensuring data quality, and escalating any ambiguities.
- Is the Healthcare Research Data Annotator role remote?
- Yes, the Healthcare Research Data Annotator position at Alignerr is fully remote, offering flexibility to work from anywhere.
- What are the required qualifications for the Healthcare Research Data Annotator role at Alignerr?
- Alignerr seeks candidates with strong attention to detail, comfort with complex information, and a background in healthcare, clinical research, biology, or a related STEM field. The ability to precisely follow guidelines and work independently is essential.
- What experience is preferred for the Healthcare Research Data Annotator job?
- While not required, Alignerr prefers candidates with prior annotation or data labeling experience. Experience in clinical documentation, medical coding, biomedical research, EHR familiarity, or data quality is also beneficial.
- How flexible are the hours for the Healthcare Research Data Annotator position?
- The Healthcare Research Data Annotator role at Alignerr offers flexible hours. You can work independently and asynchronously at your own pace, fitting the work around your schedule.
- What is the commitment level for this contract role?
- This is an hourly contract position with flexible hours, allowing you to work at your own pace. There is potential for ongoing work and contract extensions based on performance.
- How does a Healthcare Research Data Annotator contribute to medical AI at Alignerr?
- Your meticulous annotation and verification of datasets directly impact the quality, safety, and effectiveness of AI systems used in healthcare research, contributing to significant advancements in medical AI.