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Entry Level Remote Image Annotation Jobs in California

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?

AspectEntry Level Remote Image AnnotationEntry Level Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data processing
Job FocusAnnotating images with labels, bounding boxes, polygonsLabeling 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.
What are the most commonly searched types of Remote Image Annotation jobs in California? The most popular types of Remote Image Annotation jobs in California are:
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What cities in California are hiring for Entry Level Remote Image Annotation jobs? Cities in California with the most Entry Level Remote Image Annotation job openings:
Tracking Illicit Economies via Satellite Imagery GRAD RA (AY 25-26 C91355)

Tracking Illicit Economies via Satellite Imagery GRAD RA (AY 25-26 C91355)

Middlebury College

Monterey, CA • On-site, Remote

$17.95/hr

Part-time

Posted 21 days ago


Middlebury College rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

309th of 537 rated colleges and universities


Job description

Dr. Katharine Petrich is hiring two students to work remotely/on-campus to support a continuing research project leveraging satellite imagery, machine learning models, and geospatial data to monitor and mitigate illicit activities in Colombia and Venezuela. This includes analyzing illegal mining, deforestation, drug trafficking, and coca cultivation in conflict-prone border regions.

This is a California MIIS student position compensated at the Level C rate paying $17.95 per hour.

Core Responsibilities:

  • Assemble data for several relevant databases using media reports, government documents, nonprofit reports, social media accounts, etc in Spanish and English 
  • Identify patterns in territorial disputes, organized crime activities, and environmental degradation in the zone of interest 
  • Conduct image/geospatial annotation 
  • Write literature reviews 
  • Examine the underlying socioeconomic and governance challenges which act as drivers 
  • Write and present findings to internal/external audiences 

Requirements

  • Research methods experience  
  • Interest in satellite imagery/geospatial data 
  • Experience working in remote-first teams 
  • Social media/open source intelligence experience 
  • Spanish language at 300 level preferred 
Student Employment Eligibility:

Unless restricted by certain visa status, all students with an active status for the semester are eligible for jobs on campus.

Students on leave or withdrawn are not eligible to work in student employment positions until the semester in which they return. If you are currently withdrawn or on leave you are eligible to be employed in staff positions.

Some may be restricted due to financial aid status. International students (non-resident aliens) may not work off campus unless they have applied for and received work authorization from the United States government. (An F-1 visa does not give work authorization.) Off campus work study positions are available only to U.S. citizens on financial aid with a federal work study component.

Student are not eligible to work remotely from International locations.

Hour Limitations:

All student employees are limited to working no more than 20 hours per week in on campus jobs during the academic year (this includes exam periods). The only exception is when there is a full week when school is not in session. Specifically: February recess, Spring recess, and full weeks of December or summer recess. During these time periods only, students can work up to 40 hours per week. International Students: Visa restrictions prohibit international students from exceeding 20 hours of work per academic calendar week.