Remote | Radiologist; MD Medical Imaging AI Annotation & Evaluation

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 work streams 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 work streams

Ideal Profile

• MD or DO with completed diagnostic radiology residency
• Board certification through the A  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 work streams
• 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 work streams based on subspecialty, availability, interest, and project priorities
• Tasks may range from…