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Weekend Ai Data Annotation Jobs in Rochester, NY

No call / No weekend clinical responsibilities. Physicians deliver modern wound management at the ... If you would like more information about how your data is processed, please contact us. apply for ...

No call / No weekend clinical responsibilities. Physicians deliver modern wound management at the ... If you would like more information about how your data is processed, please contact us. apply for ...

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Weekend Ai Data Annotation information

What are Weekend AI Data Annotators?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What are some common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

What are the key skills and qualifications needed to thrive as a Weekend AI Data Annotation Specialist, and why are they important?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.
What are popular job titles related to Weekend Ai Data Annotation jobs in Rochester, NY? For Weekend Ai Data Annotation jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Weekend Ai Data Annotation jobs in Rochester, NY look for? The top searched job categories for Weekend Ai Data Annotation jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Weekend Ai Data Annotation jobs? Cities near Rochester, NY with the most Weekend Ai Data Annotation job openings:

Emergency Medicine Physician - Rochester, NY

Vohra Physicians

Rochester, NY • On-site

$200K - $350K/yr

Part-time

Medical, Retirement

Posted 23 days ago


Job description

Emergency Medicine Physician Position with National Wound Physician Group
 
Clinical satisfaction, autonomy and flexibility, work-life balance
 
No Nights, No Call, No Weekend Clinical Responsibilities
 
Become an expert in wound management, learn from highly qualified wound-certified physician trainers and Fellowship Directors. Utilize cutting-edge clinical technologies and the latest wound care modalities. 
 
Our physicians provide bedside wound care in over 3,200 facilities across 28 states.
We provide physician-level wound management training and a wound fellowship, giving you all the knowledge and expertise for clinical excellence.
W2 physicians earn, on average, $300,000 per year plus benefits for a 30-hour work week (Part-time opportunities available).
Paid Training.
 
Practice Overview:
 
Full-time work: Monday - Friday (7 am - 4 pm) or part-time available.
No call / No weekend clinical responsibilities.
Physicians deliver modern wound management at the bedside in the post-acute care setting: Skilled Nursing Facilities and Long-Term Acute Care Hospitals.
Our physicians conduct weekly wound rounds at each facility.
Part-time role is a minimum of 3 days per week. The full-time role is 4-5 days per week.
This is a mobile practice: The physicians visit facilities in a 40 - 60 mile radius of the practice location.
Our physicians visit 2-3 facilities per day, treating approximately 20-30 patients per day.
Clinical documentation is at the point of care, in real-time during clinical rounds, using our proprietary wound-specific EMR.
Paid Training is provided during onboarding + 6 months wound care fellowship
W2 employment contract (No work visa sponsorship is available)
 
Benefits:
 
Full health and retirement benefits provided.
Medical Malpractice with tail is provided.
Mileage reimbursement.

Requirements:
 
Active unrestricted medical license (MD/DO) in the state you wish to practice
Minimum commitment of 3 weekdays per week.
$200,000 - $350,000 a year
What We Look For:

Join our team and enjoy an individualized practice with flexibility and work/life balance. If you want to become an expert in your field, learn from highly qualified physician peers, utilize cutting-edge technologies, and spend your time focused on patients and not paperwork, then Vohra may be the right physician practice for you.

We place a high value on clinical experience, cultural fit, and passion for helping wound care patients. We have three specific requirements:

Full, active, and unrestricted license in the state you wish to practice
Minimum commitment of 3 days a week within our working days of Monday through Friday
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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