$333k-$374k
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Decision details from the source listing
2+ years stated
MD, DO, or equivalent medical degree, Board certification or eligibility in Hematology
Must be based in the United States
flexible
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Remote U.S.-only, part-time, project-based contractor role reviewing AI-generated outpatient hematology transcripts and clinical notes. Requires at least 2 years of recent outpatient hematology experience following fellowship. Compensation is explicitly stated as $160–$180 USD per hour; no annual salary is specified.
Data, Finance and investments, Healthcare admin, Operations, Patient support, Product, Software, Customer support
United States
Timezone overlap is not stated.
Experienced · Contractor · Part-time · Project-based
- Required timezone overlap is not stated
Data hiring on WFH.team
This role's listed pay is above the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketHematologist at micro1
Hematologist
Role type: Contractor
Location: Remote, United States only
Commitment: Part-time, project-based
Compensation: $160–$180 USD per hour
About the role
micro1 is looking for experienced Hematologists to support a customer project focused on improving AI-generated clinical documentation.
In this role, you'll use your clinical expertise to evaluate AI-generated transcripts and medical notes from outpatient hematology encounters. Your feedback will help improve the accuracy, completeness, and clinical relevance of AI-assisted documentation.
What you'll do
Review AI-generated transcripts of outpatient hematology visits for clinical accuracy, completeness, and clarity.
Evaluate clinical documentation, including History of Present Illness (HPI), interval histories, and Assessment and Plans (A&Ps).
Identify inaccuracies or missing details related to hematologic diagnoses, treatment plans, medication management, and laboratory findings.
Assess documentation of blood disorders, including anemia, bleeding and clotting disorders, and hematologic malignancies.
Review how clinical notes capture treatment responses, adverse effects, transfusion requirements, and follow-up care.
Provide clear, actionable feedback to improve AI-generated clinical notes and EHR documentation.
Required qualifications
MD, DO, or equivalent medical degree, with board certification or eligibility in Hematology.
At least 2 years of recent outpatient hematology experience following fellowship.
Strong clinical experience diagnosing and managing hematologic disorders, including treatment planning and longitudinal patient care.
Proven ability to independently document HPIs, interval histories, and Assessment and Plans.
Solid understanding of hematologic treatments, transfusion practices, anticoagulation management, and laboratory interpretation.
Strong written communication skills and attention to clinical detail.
Based in the United States.
Preferred qualifications
Experience treating both malignant and non-malignant hematologic conditions, such as leukemia, lymphoma, anemia, sickle cell disease, and coagulation disorders.
Familiarity with AI scribe technology, EHR documentation templates, medical chart review, or clinical annotation projects.
Application process
Candidates will complete an AI interview to assess their relevant clinical expertise and experience.
About micro1
micro1 is a data lab that connects professionals with opportunities to apply their expertise to customer projects. We work with specialists across fields such as engineering, finance, healthcare, and law to support AI labs and enterprises. Through our extended network, contributors bring their knowledge and judgment to projects with their own scope, requirements, and engagement terms.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.