Alignerr
AI Trainer for Medicine (Freelance, Remote)
Job Summary
This role involves training AI with medical knowledge to ensure accurate and relevant outputs across diagnosis, treatment, and disease management. Responsibilities include reviewing AI outputs, providing feedback, and identifying biases to improve model performance in clinical contexts. Candidates should have advanced medical education, strong writing skills, and an interest in AI and machine learning. The position is freelance, hourly-based, and offers flexible working hours tailored to project needs.
Required Skills
Benefits
Job Description
Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
Shape the future of AI in Medicine.
As an AI Trainer - Medicine, you’ll play a vital role in shaping AI’s understanding of medical science. This position blends your medical knowledge with AI model training, ensuring that AI-generated outputs in medicine are accurate and relevant. With flexible hours, you’ll make meaningful contributions to AI’s role in modern medicine.
Your Day-to-Day
- Educate AI: Review and provide feedback on AI outputs in various medical domains, including diagnosis, treatment plans, and disease management.
- Problem Solving: Use your medical expertise to provide clear explanations for clinical problems, helping AI to reason through medical cases effectively.
- Red Teaming: Identify flaws or biases in the AI’s medical outputs and create tests to ensure its outputs are accurate and applicable to real-world clinical settings.
- You create your own working hours depending on project length.
About You
- Enrolled in or have completed a Master's or Doctorate (Preferred) in Medicine or a related field.
- Native-level proficiency in medical science.
- English fluency required.
- Strong writing skills with excellent English-language spelling and grammar.
- A critical eye and ability to clearly articulate the strengths and weaknesses of written text.
- Professional writing experience as a researcher, medical writer, or in a similar role.
- Interest in AI and machine learning concepts.
Important Information
This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be authorized to work in their country of residence, and we do not offer sponsorship for this 1099 contract role. International students on a valid visa may be eligible to apply; however, specific circumstances should be discussed with a tax or immigration advisor. We are unable to provide employment documentation at this time. Compensation rates may vary for non-US locations.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Pay Range (rate per hour)
$15 - $150 USD
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Important Information
This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be authorized to work in their country of residence, and we do not offer sponsorship for this 1099 contract role. International students on a valid visa may be eligible to apply; however, specific circumstances should be discussed with a tax or immigration advisor. We are unable to provide employment documentation at this time. Compensation rates may vary for non-US locations.
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