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Remote Image Annotation Jobs in Arizona (NOW HIRING)

SQA Solution

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 ...

SQA Solution

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 ...

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Remote Image Annotation information

What is a Remote Image Annotation job?

A Remote Image Annotation job involves labeling images with relevant tags, shapes, or metadata to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment objects, or add descriptive labels to improve AI accuracy. This work is typically done from home and requires attention to detail, basic computer skills, and sometimes domain-specific knowledge. It is commonly used in industries such as autonomous vehicles, healthcare, and e-commerce.

What are the key skills and qualifications needed to thrive in the Remote Image Annotation position, and why are they important?

To thrive as a Remote Image Annotation specialist, you need keen attention to detail, strong visual analysis skills, and basic computer proficiency, often supported by a background in data entry or related fields. Familiarity with image annotation platforms and tools such as Labelbox, VGG Image Annotator, or custom client software is commonly required, though formal certifications are uncommon. Excellent time management, self-motivation, and clear communication skills help remote workers excel, especially when collaborating with distributed teams or providing task updates. These competencies ensure accurate, timely annotations that are essential for training high-quality AI and machine learning systems.

What are some common challenges faced by remote image annotation specialists and how can they be addressed?

Remote image annotation specialists often encounter challenges such as handling repetitive tasks, maintaining high accuracy across large volumes of images, and managing time effectively while working independently. To address these challenges, it’s important to take regular breaks to maintain focus, follow detailed annotation guidelines carefully, and communicate proactively with project managers or teammates when unclear instructions arise. Many employers provide training sessions, clear documentation, and regular feedback to help remote annotators improve their performance. Utilizing productivity tools and engaging with team forums or chat channels can also help foster collaboration and resolve questions efficiently. Over time, experience with different annotation types and toolsets can open up opportunities for advancement into quality assurance or tool administration roles.
More about Remote Image Annotation jobs
What are the most commonly searched types of Image Annotation jobs in Arizona? The most popular types of Image Annotation jobs in Arizona are:
What are popular job titles related to Remote Image Annotation jobs in Arizona? For Remote Image Annotation jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Image Annotation jobs in Arizona look for? The top searched job categories for Remote Image Annotation jobs in Arizona are:
What cities in Arizona are hiring for Remote Image Annotation jobs? Cities in Arizona with the most Remote Image Annotation job openings:
Remote Image Annotation jobs near you
Staff Pathologist

Staff Pathologist

SQA Solution

Tucson, AZ • Remote

$45/hr

Other

Posted 29 days ago

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
Qualifications:
  • 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.

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