About Rad AI
At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.
Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.
Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.
Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.
If you’re ready to shape the future of healthcare, we’d love to have you on our team!
Why Join Us:
As a Radiology Transcriptionist, you will be responsible for evaluating and correcting radiology report language generated using speech AI models, error correction models, and other generative AI tools. You'll work closely with our Transcription Manager and ML Research team to ensure report language is accurate, complete, and adheres to national clinical and Rad AI guidelines.
What You'll Be Doing:
Proofread radiology report language generated from radiologist dictation and generative AI tools.
Verify medical/anatomical terminology and report formatting for accuracy and consistency.
Maintain strict adherence to HIPAA regulations and Rad AI data annotation guidelines.
Provide feedback on common errors, inconsistencies, and audio quality in dictated or generated content to help improve future speech models.
Who We're Looking For:
5+ years of experience as a medical transcriptionist.
Strong knowledge of medical terminology, particularly related to imaging and diagnostics.
Excellent attention to detail and individual grammatical variability.
Familiarity with speech recognition, transcription software, and workspace programs/apps (Notion, Slack, Google Workspace, etc.).
Ability to work independently with availability during normal US business hours to facilitate collaboration with team members.
Nice To Haves:
Experience working with speech-to-text AI tools and/or data annotation for LLM training.
Certification in medical transcription / healthcare documentation (CHDP / CHDS / RHDS) and/or radiology-specific transcription training.
Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!
To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn to stay up to date!
For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:
Comprehensive Medical, Dental, Vision & Life insurance
HSA (with employer match), FSA, & DCFSA
401(k)
11 Paid Company Holidays
Flexible PTO policy
Annual company-wide offsite
Periodic team offsites
Annual equipment stipend
For roles based outside the US, your recruiter can share more details
At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.