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Flexible Remote Image Annotation Jobs in Baltimore, MD

Flexible Remote Image Annotation information

See Baltimore, MD salary details

$754

$2.1K

$3.1K

How much do flexible remote image annotation jobs pay per week?

As of Aug 19, 2026, the average weekly pay for flexible remote image annotation in Baltimore, MD is $2,103.33, according to ZipRecruiter salary data. Most workers in this role earn between $1,548.08 and $2,617.31 per week, depending on experience, location, and employer.

What is flexible remote image annotation?

Flexible remote image annotation is a job where individuals label or tag elements within digital images from a remote location, often from home. This work is crucial for training artificial intelligence and machine learning models, particularly in fields like computer vision and autonomous vehicles. The 'flexible' aspect means workers can often set their own hours and choose tasks according to their availability. Image annotation tasks may include outlining objects, assigning categories, or describing visual content in images. Most positions require attention to detail and basic computer skills, but prior experience is not always necessary.

What are the key skills and qualifications needed to thrive as a flexible remote image annotation specialist?

To thrive as a Flexible Remote Image Annotation Specialist, you need strong attention to detail, visual accuracy, and a basic understanding of image processing, often supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, CVAT, or VIA, and sometimes experience with basic data entry platforms, is typically required. Excellent time management, communication skills, and the ability to work independently are valued soft skills for this remote role. These skills ensure high-quality, consistent data labeling essential for training reliable machine learning models and supporting AI development.

What are some common challenges faced in flexible remote image annotation roles and how can they be managed?

One common challenge in flexible remote image annotation is maintaining accuracy and consistency across large datasets, especially when guidelines are complex or images are ambiguous. Working independently can also make it harder to get immediate feedback or clarification. To manage these challenges, it’s important to regularly review annotation guidelines, participate in team check-ins or forums, and make use of quality assurance tools provided by the employer. Staying organized and communicating proactively with project leads can help ensure your work meets expectations and deadlines.

What is the difference between Flexible Remote Image Annotation vs Data Labeler?

AspectFlexible Remote Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Job FocusAnnotating images with labels, bounding boxes, segmentationLabeling data, categorizing images or text

Flexible Remote Image Annotation and Data Labeler roles both involve data processing tasks in AI and machine learning industries. While image annotation focuses on marking specific features within images, data labelers may work with various data types, including text and images. Both roles are remote, require similar skills, and serve the same industry needs, but image annotation emphasizes visual data precision.

What are popular job titles related to Flexible Remote Image Annotation jobs in Baltimore, MD?

For Flexible Remote Image Annotation jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Flexible Remote Image Annotation jobs in Baltimore, MD look for?

The top searched job categories for Flexible Remote Image Annotation jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Flexible Remote Image Annotation jobs?

Cities near Baltimore, MD with the most Flexible Remote Image Annotation job openings:

LLM Model Response Evaluation

Lifted, an Upwork Company™

Maryland City, MD • On-site, Remote

Contractor

Posted 17 days ago


Job description

Company Description
Our client, a global technology company that helps businesses build, train, and manage AI systems is looking for experts to evaluate model-generated content against defined quality rubrics such as factuality, consistency, aesthetics, and other evaluation criteria.
Job Description
  • Evaluating UI widgets, infographics, image factuality, side-by-side comparisons, and similar AI evaluation activities.
  • The work may involve text, images, audio, video, HTML widgets, PDFs, or combinations of these modalities.
  • The work is domain-agnostic and may cover topics across arts, culture, history, science, engineering, and more.
  • Resources will be expected to independently research unfamiliar topics using trusted sources before making evaluation decisions.
  • Each task will include detailed project guidelines within the evaluation platform.

Qualifications
  • 3+ years of hands-on experience in LLM / GenAI data evaluation.
  • Bachelor's Degree required
  • Ability to research unfamiliar topics using trusted sources and make well-supported judgments.
  • Comfortable evaluating content across multiple modalities

Additional Information
Flexible and remote work
Variable workload: Accept or decline tasks based on your availability
No guaranteed hours: Workload may vary weekly