Staff Pathologist
Tucson, AZ · Remote
$45/hr
Contract, W2 only Duration : 12+ months Location : remote Pay : $45/hr-$ 93/hr, DOE Schedule: M-F ... Experience in IHC-supervised annotation for tumor identification * Board certification in anatomic ...
Staff Pathologist
Tucson, AZ · Remote
$45/hr
Contract, W2 only Duration : 12+ months Location : remote Pay : $45/hr-$ 93/hr, DOE Schedule: M-F ... Experience in IHC-supervised annotation for tumor identification * Board certification in anatomic ...
Entry Level Remote Image Annotation information
What does a typical day look like for someone in an entry-level remote image annotation role?
In an entry-level remote image annotation position, you can expect to spend most of your day working independently on assigned image datasets, carefully labeling objects, features, or regions according to project guidelines. You'll likely communicate with team leads or project managers through messaging platforms to clarify instructions or receive feedback. Regular check-ins and quality reviews are common to ensure accuracy and consistency. Collaboration with other annotators may occur during team meetings or when discussing challenging cases, but the bulk of your time will be focused on detailed annotation work using specialized software.
What is the difference between Entry Level Remote Image Annotation vs Entry Level Remote Data Labeling?
| Aspect | Entry Level Remote Image Annotation | Entry Level Remote Data Labeling |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, computer-based | Remote, computer-based |
| Industry Usage | AI, machine learning, autonomous vehicles | AI, machine learning, data processing |
| Job Focus | Annotating images with labels, bounding boxes, polygons | Labeling various data types, including images, text, audio |
Entry Level Remote Image Annotation primarily involves labeling images for AI training, focusing on visual data. In contrast, Entry Level Remote Data Labeling encompasses a broader range of data types, including text and audio. Both roles require similar skills and are performed remotely, but image annotation is more specialized for visual AI applications.
What are the key skills and qualifications needed to thrive as an Entry Level Remote Image Annotation Specialist, and why are they important?
Success as an Entry Level Remote Image Annotation Specialist requires attention to detail, basic computer literacy, and familiarity with visual data, typically with a high school diploma or equivalent. Proficiency with annotation software tools, such as Labelbox or CVAT, and understanding of cloud-based collaboration platforms are often necessary. Strong communication, time management, and the ability to follow detailed instructions help individuals excel in remote and collaborative environments. These skills ensure accurate, high-quality data labeling, which is essential for training effective machine learning and AI models.
What is an Entry Level Remote Image Annotation job?
An Entry Level Remote Image Annotation job involves labeling or tagging objects, features, or areas within digital images to help train computer vision models. Typically, these roles require workers to use specialized software to categorize or highlight parts of images, following detailed guidelines. The job is usually performed from home, offering flexibility for those entering the workforce or seeking remote opportunities. No advanced technical skills are typically required, but attention to detail, reliability, and basic computer proficiency are important. These positions are often used in industries like AI, autonomous driving, or medical imaging.
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Job description
About the job Staff Pathologist
Type: Contract, W2 only
Duration: 12+ months
Location: remote
Pay: $45/hr-$93/hr, DOE
Schedule: M-F, MST business hours
Please note that at this time we are unable to sponsor employment authorization (both new and transfer)
A leading Global Biotech Company is seeking a Staff Pathologist (MD) who has experience diagnosing cancer in any capacity. Position will require a minimum of 20 hours a week and up to 40 hours a week. Any US time zone is acceptable.
Responsibilities:
- Perform diagnostic pathology analysis to assist in the development of Artificial Intelligence (AI) algorithms for quantitative image analysis
- Ensure compliance with laboratory and medical regulations
- Collaborate with medical teams on case reviews
- Support research and clinical trials through pathology insights
- Contribute to quality control and assurance processes
- Strong background in surgical pathology
- Experience in IHC-supervised annotation for tumor identification
- Board certification in anatomic pathology
- Knowledge of industry best practices
- Surgical pathology fellowship trained (preferred)
We are an Equal Opportunity employer and welcome talent across all aspects of background, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration without bias and based on the relevant qualifications, talents, skills, experiences, and business needs.
About SQA Solution
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
1 - 10 Employees
Headquarters location
San Francisco, CA, US
Year founded
2001