About DataAnnotation
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Industry
Computing infrastructure providers, data processing, web hosting and data services
Company size
10,000+ Employees
Headquarters location
New York, NY, US
$40/hr
Full-time, Part-time, Contractor
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Job description
We are looking for medical experts to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In This Role You Will Need To Be An Expert In Healthcare.
We Are Interested In a Wide Range Of Expertise, So Relevant Backgrounds Include: Physicians & Advanced Practice Clinicians: Physicians of all specialties (e.g., Internists, Cardiologists, Oncologists), Physician Assistants, Nurse Practitioners, Certified Nurse-Midwives, Certified Registered Nurse Anesthetists, Clinical Nurse Specialists, Registered Nurses. Therapists: Physical Therapists, Occupational Therapists, Speech-Language Pathologists, Respiratory Therapists, Athletic Trainers, Massage/Recreational Therapists. Diagnostic & Laboratory Professionals: Radiologic Technologists, Sonographers, MRI & Nuclear Medicine Technologists, Medical Laboratory Scientists, Phlebotomists, Histology & Genetics Technicians.
Public Health & Specialized Roles: Dietitians/Nutritionists, Genetic Counselors, Epidemiologists, Public Health Nurses. Benefits This is a full-time or part-time REMOTE position. You'll be able to choose which projects you want to work on.
You can work on your own schedule. Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work. Projects are paid hourly starting at $30+ USD per hour, with bonuses on high-quality and high-volume work.
Responsibilities Give AI chatbots diverse and complex healthcare related problems and evaluate their outputs. Give AI chatbots writing and editing tasks and evaluate their outputs. Evaluate the quality produced by AI models for correctness and performance.
Ensure the medical accuracy of model performance. Qualifications Fluency in English (native or bilingual level). A current or in-progress medical degree.
Detail-oriented. Excellent command of grammar, style, and brand voice. A current, in-progress, or completed Bachelor's degree is preferred but not required.
Notes Payment is made via PayPal; we will never ask for any money from you; PayPal will handle any currency conversions from USD. Only applicants in Canada will be considered for this role. This is an independent contract position.
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dataannotation.tech
Frequently asked questions
Q: What skills or qualities help someone succeed as a Information Analyst?
A: To succeed as an Information Analyst, key technical skills include proficiency in data analysis tools such as SQL, Excel, and data visualization software like Tableau or Power BI, as well as knowledge of statistical programming languages like R or Python. Additionally, strong communication and problem-solving skills, along with attention to detail and analytical thinking, are essential soft skills that enable Information Analysts to effectively interpret complex data insights and present them to stakeholders. By combining these technical and soft skills, Information Analysts can drive business decisions and drive career growth through their ability to extract valuable insights from data and communicate them effectively.
Q: What is the career path for a Information Analyst?
A: A typical career path for an Information Analyst involves progression from entry-level roles such as Data Analyst or Business Analyst, to mid-level positions like Senior Analyst or Business Intelligence Developer, and eventually to senior roles like Lead Analyst or Data Scientist. Key opportunities for skill development and growth in this role include learning programming languages like SQL and Python, data visualization tools like Tableau, and statistical modeling techniques, as well as developing business acumen and communication skills. Long-term career prospects for Information Analysts may include transitioning into leadership roles, pursuing specialized fields like data engineering or machine learning, or moving into related roles like Operations Research Analyst or Management Consultant.
