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Full Time Image Annotation Jobs (NOW HIRING)

... annotation, and patient identification, ensuring that all relative anatomy is demonstrated. • ... Other Related Functions • Follows established standards of practice for image processing and ...

Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities ... Support annotation workflows by identifying and flagging imagery containing objects of interest

Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities ... Support annotation workflows by identifying and flagging imagery containing objects of interest

OHIC Altamonte Imaging Center Location: 398 E Altamonte Springs, FL 32701 Shift: Full-time, Day ... Assesses diagnostic images for technical quality, proper annotation, and patient identification ...

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Full Time Image Annotation information

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How much do full time image annotation jobs pay per week?

As of Aug 18, 2026, the average weekly pay for full time image annotation in the United States is $2,116.79, according to ZipRecruiter salary data. Most workers in this role earn between $1,557.69 and $2,634.62 per week, depending on experience, location, and employer.

What is a full time image annotation?

A Full Time Image Annotation job involves labeling or tagging images to help train machine learning models. Annotators use specialized tools to draw bounding boxes, classify objects, or mark key points within images. This process improves artificial intelligence systems in areas like autonomous driving, medical imaging, and facial recognition. The role requires attention to detail, accuracy, and sometimes familiarity with specific domain guidelines. It is typically performed in-office or remotely, depending on the employer.

What are the key skills and qualifications needed to thrive in full time image annotation?

To thrive as a Full Time Image Annotation professional, you need strong attention to detail, familiarity with visual data, and typically at least a high school diploma or equivalent. Experience with annotation platforms, image labeling software, and sometimes basic knowledge of programming languages or AI concepts can be advantageous. Excellent concentration, time management, and the ability to work both independently and collaboratively are valuable soft skills. These competencies ensure accurate, consistent data labeling, which is crucial for developing reliable machine learning and AI systems.

What types of images and annotation tasks can I expect in a full time image annotation role?

In a Full Time Image Annotation position, you may work with a broad variety of image types, including photographs, satellite images, medical scans, or video frames, depending on the project and industry. Typical annotation tasks include drawing bounding boxes, segmenting objects, labeling regions, or identifying specific features for use in machine learning datasets. Many teams work on tight deadlines and coordinate through digital platforms, so accuracy and consistency are key performance metrics. You may collaborate with quality assurance specialists and data scientists to ensure the annotated data meets required standards. Over time, proficiency in advanced annotation techniques can lead to opportunities for quality control, project management, or more technical roles within the AI data pipeline.

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What cities are hiring for Full Time Image Annotation jobs?

Cities with the most Full Time Image Annotation job openings:

What are the most commonly searched types of Image Annotation jobs?

The most popular types of Image Annotation jobs are:

What states have the most Full Time Image Annotation jobs?

States with the most job openings for Full Time Image Annotation jobs include:

Infographic showing various Full Time Image Annotation job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 21% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $110,073 per year, or $52.9 per hour.

Postdoctoral Fellow - Genitourinary Medical Oncology - Research

MD Anderson Cancer Center

Houston, TX • On-site

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 27 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

14th of 888 rated healthcare providers


Job description

A postdoctoral position focused on cellular danger response signaling and interaction with the tumor immune microenvironment in renal cell carcinoma is available in the laboratory of Dr. Eric Jonasch. We are looking for highly self-motivated candidates with a recent PhD or MD degree, to investigate the cellular and molecular mechanisms of STING pathway signaling in renal cell carcinoma as well as therapy resistance to targeted therapy and immunotherapy.
To study the cellular and molecular mechanisms of cellular danger response in renal cell carcinoma as well as therapy resistance to chemotherapy, targeted therapy, and immunotherapy.
Successful candidate must be able to design novel projects, create hypothesis-driven experiment, maintain excellent descriptions of experiments performed, standardize and validate new methods and be able to interpret results. Computer skills such as entering data obtained from experiments into graphic and statistics programs as well as the generation of figures after image analysis are essentials. The employee should provide scientific expertise and organizational skills in getting involved in various research projects involving human subject research. Candidate will be responsible for coordinating procedures with collaborators. Other skills include performing technical laboratory duties in accordance with general and/or specific plans. Read, write and edit manuscripts and reports, as well as help with grant writing.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
-Develop capabilities for perform spatial transcriptomic analyses on RCC and VHL disease related samples.
-Develop and expand the ability to perform bioinformatic analyses of single cell and spatial transcriptomic analysis.
-Become proficient in the intersection of tumor immune microenvironment, tumor metabolism, tumor microbiome, disease progression and treatment response in patients with nodal disease.
-Learn metastatic and primary tumor tissue processing and clinical annotation in patients with locally advanced and metastatic disease.
To accomplish the learning objective, the candidate will be matched with GU oncology clinical faculty (Dr. Eric Jonasch as well as translational faculty (Dr. Xiande Liu).
ELIGIBILITY REQUIREMENTS
MD or PhD (recent, within 3 years)
- Prefer candidate to have knowledge of tissue processing for single cell studies, metabolomics, and microbiome studies
- Prefer candidate with skills in clinical database management and clinical specimen annotation.
ADDITIONAL APPLICATION INFORMATION
- Prefer candidate to have knowledge of tissue processing for single cell studies, metabolomics, and microbiome studies
- Prefer candidate with skills in clinical database management and clinical specimen annotation.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000 . depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits , including medical, dental, paid time off , retirement , tuition benefits, educational opportunities, and individual and team recognition
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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