2

Image Labeling Remote Jobs in Washington, DC (NOW HIRING)

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Senior Machine Learning Engineer

Washington, DC · On-site +1

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote USA Compensation: $180,000 - $250,000 / year Description Clearview AI is the leading ... image datasets, and build the pipelines to curate and label that data at scale * Work with vision ...

Records Clerk

Lorton, VA · On-site +1

$16.75 - $22/hr

Overview Records Clerk Remote Are you ready to enhance your skills and build your career in a ... The Records Clerk downloads, creates, verifies image quality, processes, performs data entry ...

Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices -- training pipelines, data labeling, model evaluation, and ...

Image Labeling Remote information

See Washington, DC salary details

$11

$15

$19

How much do image labeling remote jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for image labeling remote in Washington, DC is $15.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $17.40 per hour, depending on experience, location, and employer.

What is image labeling in a remote job?

Image labeling in a remote job involves tagging or annotating images with relevant information or categories from your home or any location outside of a traditional office. This process helps train machine learning models to recognize objects, people, or scenes within images. Remote image labelers use specialized software to identify and mark features according to project guidelines. The work is often flexible and may be paid per task or per hour, depending on the employer.

What is the difference between Image Labeling Remote vs Data Annotation Specialist?

AspectImage Labeling RemoteData Annotation Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Search & Comparison IntentOften compared for similar data labeling rolesRelated role in data preparation

Image Labeling Remote and Data Annotation Specialist roles both involve preparing data for AI systems, often working remotely with similar skills. However, Image Labeling Remote typically focuses specifically on labeling images and visual data, while Data Annotation Specialist may include a broader range of data types like text or audio. Both roles are essential in AI development and share similar work environments and skill requirements.

What are the key skills and qualifications needed to thrive as an image labeling remote worker?

To thrive as an Image Labeling Remote worker, you need strong attention to detail, basic computer literacy, and familiarity with data annotation concepts, often supported by a high school diploma or equivalent. Proficiency with image labeling platforms such as Labelbox, Supervisely, or proprietary annotation tools is typically required. Reliability, self-motivation, and the ability to follow precise instructions make someone stand out in this position. These skills ensure that labeled data is accurate and consistent, which is crucial for training high-quality machine learning models.

What are some common challenges faced by remote image labeling professionals, and how can they be managed?

Remote image labeling professionals often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and communicating effectively with team members across different time zones. To manage these, it's helpful to set up a dedicated, distraction-free workspace, take regular breaks to prevent fatigue, and use collaboration tools like Slack or project management platforms to stay connected with the team. Adhering closely to labeling guidelines and participating in regular quality reviews also help maintain accuracy and consistency.

What job categories do people searching Image Labeling Remote jobs in Washington, DC look for?

The top searched job categories for Image Labeling Remote jobs in Washington, DC are:

Image Reasoning Specialist - AI Lab - AI Trainer

Mercor

Washington, DC • Remote

$35/hr

Full-time

Posted 3 days ago

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Image Reasoning Generalist
Type: Contract
Compensation: $35/hour
Location: Remote

Role Responsibilities

  • Find images that may cause AI models to count incorrectly. Use original, public domain, or AI-generated images.
  • Identify elements that might confuse models, such as misleading text or similar-looking objects.
  • Test images with AI models using the prompt: "How many X are there? Return an integer."
  • Write additional prompts to provide context and label tasks effectively.
  • Work independently and asynchronously to ensure accuracy and consistency in task completion.

Qualifications

Must-Have

  • Strong written English skills for clear and understandable prompts.
  • Good attention to detail to identify potential model confusion in images.
  • Consistency and reliability in handling multiple tasks.

Preferred

  • Experience with photography, image editing, data labeling, or other detail-focused work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor