- Experiencia
- Cualquier
- Salario
- —
- Vacantes
- 1
- Al corriente
- hace 1 semana
- Modo de trabajo
- Trabajar desde casa
- Educación
- Cualquier graduado
- Elegibilidad
- Candidates with practical experience in healthcare data, EHR systems, clinical reporting, or related informatics work are best suited for this role. Those with health informatics, clinical informatics, biomedical data science, or similar experience will be especially relevant.
- Reanudar
- Se requiere solicitud
Descripción del trabajo
About the role
Join a remote contract opportunity where your healthcare data knowledge helps improve AI systems used by leading research teams. This role is focused on bringing clinical and health information expertise into AI training, with an emphasis on healthcare data, electronic health record (EHR) systems, and clinical workflows.
You will work at the crossroads of healthcare and artificial intelligence, helping shape how models interpret and reason about medical information.
Role details
- Organization: Alignerr
- Engagement type: Hourly contract
- Work mode: Remote
- Weekly commitment: 10–40 hours
What you will do
- Review AI-produced healthcare content, clinical data outputs, and EHR-related information to check accuracy and overall quality.
- Use your health information systems knowledge to spot mistakes, missing details, and opportunities to improve AI responses.
- Examine and label healthcare datasets, medical records, and clinical workflows to support model training.
- Share clear, structured feedback on how correct, complete, and clinically relevant the AI outputs are.
- Work asynchronously with an international group of subject matter experts and AI researchers.
- Help strengthen how AI models understand clinical language, patient records, and healthcare processes.
What we are looking for
- Hands-on experience with healthcare data, EHR platforms, or clinical reporting tools.
- Strong analytical ability, especially in interpreting data, reports, or trends.
- Understanding of clinical and administrative processes in healthcare environments.
- Ability to write findings clearly and succinctly.
- Careful, dependable, and comfortable working without close supervision.
- Capable of reviewing complex information methodically and at scale.
Nice to have
- Exposure to data annotation, data quality checks, or assessment frameworks.
- Background in health informatics, clinical informatics, or biomedical data science.
- Knowledge of interoperability standards such as HL7, FHIR, or ICD coding systems.
- Previous experience with AI, machine learning, or LLM evaluation work.
Why this role stands out
- Contribute to meaningful AI initiatives with leading research labs and teams.
- Enjoy a fully remote setup with flexible scheduling from any location.
- Benefit from freelance-style independence, variety, and global collaboration.
- Gain direct exposure to advanced large language models and the processes used to train them.
- Do work that helps AI handle healthcare information more accurately and effectively.
- There is potential for continued assignments and contract renewal.