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Job description
About the job Remote | Radiologist (MD) - Medical Imaging AI Annotation & Evaluation - $200-$400/hour
We are sharing a specialised consulting opportunity for experienced Radiologists with strong expertise in diagnostic imaging, structured reporting, clinical reasoning, image annotation, and medical-imaging evaluation to contribute to advanced AI training and clinical-evaluation projects.
Selected professionals will apply diagnostic expertise to non-clinical work involving imaging interpretation, structured finding annotation, reference-report authoring, AI-output review, and evaluation-framework development. This role does not involve direct patient care or responsibility for live diagnosis. Contributors join a shared expert pool and may be matched across multiple imaging workstreams based on subspecialty, availability, and project needs.
Key Responsibilities
Clinical Imaging Interpretation
Review imaging studies alongside relevant patient history and clinical context
Document diagnostic reasoning rather than providing only a final impression
Identify clinically significant findings using precise radiological terminology
Apply subspecialty expertise to common, complex, and atypical imaging cases
Maintain strong diagnostic accuracy across repeated evaluations
Structured Finding Annotation Label discrete imaging findings according to defined project schemas
Record presence, location, laterality, severity, and interval change
Apply structured-reporting standards relevant to the imaging modality and subspecialty
Maintain consistency and precision across annotation tasks
Support development of high-quality medical-imaging reference datasets
Reference Report & Case Development Author reference reports representing appropriate professional interpretations of imaging studies
Produce clear findings and impressions aligned with clinical reporting standards
Develop difficult cases designed to test the limits of AI reasoning
Create imaging questions and scenarios reflecting realistic diagnostic complexity
Incorporate appropriate clinical context, uncertainty, and differential considerations
AI Output Review & Clinical Quality Review AI-generated imaging interpretations against professional clinical standards
Identify hallucinated findings, missed abnormalities, and unsupported certainty
Assess diagnostic reasoning, terminology, report structure, and clinical relevance
Provide structured feedback explaining significant weaknesses or errors
Distinguish clinically meaningful problems from acceptable stylistic variation
Evaluation Criteria & Guideline Development Develop grading criteria and guidelines for consistent imaging-output evaluation
Define distinctions between excellent, acceptable, and inadequate radiological assessments
Apply frameworks such as BI-RADS, LI-RADS, Lung-RADS, TI-RADS, or comparable standards where relevant
Contribute teaching, assessment, and rubric-design expertise
Support consistent clinical judgement across multiple imaging workstreams
Ideal Profile MD or DO with completed diagnostic radiology residency
Board certification through the ABR or equivalent certifying body in the country of practice, or board eligibility with residency completed
Active, unrestricted medical licence in the country of practice
2+ years of post-residency independent reading experience
Currently or recently practising with substantial independent-read volume
Strong command of structured radiology reporting standards
Precise diagnostic reasoning and image-interpretation skills
Written and spoken English fluency
Fellowship training in neuroradiology, musculoskeletal, body/abdominal, chest, breast, or paediatric imaging is advantageous
U.S. licensure and board certification are particularly valuable
Medical image annotation, AI evaluation, or dataset-curation experience is beneficial
Teaching, rubric design, or resident-assessment experience is advantageous
Published research or sustained technical writing experience is valuable
Prior AI-training or model-evaluation experience is not required
Engagement Details Independent contractor engagement
Fully remote and open worldwide
Compensation: $200-$400/hour
Minimum commitment: 15 hours per week , with the ability to concentrate hours during time-boxed workstreams
This is a non-clinical engagement with no direct patient care or responsibility for live diagnosis
Contributors join a shared expert pool and may move between concurrent workstreams based on subspecialty, availability, interest, and project priorities
Tasks may range from approximately 10 minutes for structured labelling to around 1 hour for full case authoring
Specific throughput expectations will be provided for each assigned workstream
Work may involve case interpretation, finding annotation, reference-report authoring, AI-output review, grading-guideline development, and difficult-case creation
Payments are made weekly through Stripe or Wise based on services rendered
Projects may be extended, shortened, or concluded early depending on project needs and performance
H1-B and STEM OPT candidates cannot currently be supported
Work must be completed without using confidential or proprietary information belonging to any employer, client, healthcare organisation, institution, patient, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.