
Dentist AI Training SME Remote Contract Engagement
Listing checked September 4, 2026 · pay as published by SME Careers
Overview
As a remote hourly contractor with SME Careers, you review AI-generated dental responses and craft expert content to strengthen model reasoning. Your work centers on validating accuracy, safety, and alignment with evidence-based dentistry across diverse clinical scenarios, focusing on oral diagnosis, treatment planning, and radiographic interpretation. You provide precise written feedback, produce model solutions, and rate responses on clinical reasoning and evidence-based dentistry. This role connects you with SuperAnnotate via SME Careers, supporting AI data projects and training initiatives in dentistry.
What You'll Do6
- 1Create detailed prompts and gold-standard answers covering oral diagnosis, treatment planning, emergencies, prescribing, and patient counseling for dental scenarios.
- 2Critically evaluate AI outputs for accuracy, safety, and contextual relevance, delivering targeted feedback to improve model results.
- 3Test AI results for inaccuracies, unsafe recommendations, and bias; verify reliability across patient populations and use cases.
- 4Rate and compare multiple AI responses, documenting reasoning quality, correctness, and areas for improvement.
- 5Produce high-quality explanations and model solutions that illustrate proper clinical reasoning for dental cases.
- 6Collaborate with the editorial QA and clinical guidelines team to refine training content standards and workflows.
Requirements8
- 1DDS or DMD with active dental licensure (or eligibility) and a strong foundation in oral diagnosis, treatment planning, and patient care.
- 25+ years of clinical dentistry experience (general, hospital, community, or dental specialty).
- 3Demonstrated ability to reason clinically, articulate how evidence supports conclusions, and distinguish urgent from routine cases.
- 4Solid understanding of caries, periodontal disease, endodontic pathology, oral lesions, dental materials, and procedural fundamentals.
- 5Exceptional attention to detail for fact-checking clinical content, recognizing contraindications, medication risks, and ensuring patient safety; minimum C1 English.
- 6Comfort assessing internal consistency from history and exam to diagnosis and plan, and evaluating setting appropriateness and safety implications.
- 7Reliable, self-directed, able to deliver consistent quality in an hourly remote contractor workflow across time zones.
- 8Previous experience with AI data training, clinical documentation review, peer review, utilization review, or dental editorial QA is strongly preferred.
Who Should Apply
Licensed dentists with at least five years of active practice who can clearly justify diagnostic and treatment decisions. Ideal candidates thrive in remote, hourly contractor environments and can produce precise, structured dental content for AI training. The role suits those with prior AI data tasks, clinical documentation review, or editorial QA experience, and who welcome cross-time-zone collaboration. It may be less suitable for applicants without active licensure, substantial clinical experience, or familiarity with AI data workflows.
Salary Insight
Pay: $0 - $90/hr. This hourly remote contractor work aligns with expected experience levels and project scope in AI data training for dentistry.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
up to $90/hr
Most AI Training roles pay $38–$95 per hour. This role's pay falls inside that range.
Based on 951 similar roles that publish pay · 300 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
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Hiring most right now: micro1 (284) · SME Careers (253) · Handshake AI (132)
Most requested skills · share of roles
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- ai evaluation13%
- llm evaluation12%
- data annotation10%
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Compensation
Up to $90/hr
Required Skills
Application Tip
Highlight concrete examples of prior clinical documentation reviews or AI labeling tasks; quantify results such as improved accuracy or reduced misinterpretations in dental content.
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