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Flexible Remote Image Annotation Jobs in Washington, DC

Manulife

Senior Underwriting Consultant

Washington, DC · On-site +1

$111K - $131K/yr

This is a remote role open to any location in continental US Manulife is a leading international ... Project a professional image and serve as an example to junior staff. * Manage all aspects of ...

CPMC LLC

Systems Engineer

Vienna, VA · Remote

... flexible service delivery model, completing the agency's shift to a fully digital experience along ... Configure, provision, enroll, deploy, image, patch, upgrade, harden, and maintain device operating ...

NTT DATA Services

Web Application Developer

Arlington, VA · On-site +1

$95K - $159K/yr

Familiarity with basic HTML and image optimization. * Understanding of accessibility standards and ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Web Application Developer

Arlington, VA · On-site +1

$95K - $159K/yr

Familiarity with basic HTML and image optimization. * Understanding of accessibility standards and ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Mission Intel

Systems Engineer - Senior Level

Springfield, VA · On-site +1

$109K - $149K/yr

Remote Sensing * Image Science * Information Sciences * Geographic Information Systems (GIS ... Flexible Spending Account * Paid Time Off Join Our Team If you are motivated by supporting GEOINT ...

Scout Space

Senior Flight Software Engineer

Reston, VA · On-site +1

$127K - $168K/yr

... image capture, processing, and data exploitation on orbit using embedded hardware. You will also ... Health Savings Account, Flexible Spending Accounts, Dependent Care FSA * Wellness Stipend * Work ...

Scout Space

Senior Flight Software Engineer

Reston, VA · On-site +1

$127K - $168K/yr

... image capture, processing, and data exploitation on orbit using embedded hardware. You will also ... Health Savings Account, Flexible Spending Accounts, Dependent Care FSA * Wellness Stipend * Work ...

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All JobsImage Annotation JobsFlexible Remote Image Annotation JobsFlexible Remote Image Annotation Jobs in Washington, DC

Flexible Remote Image Annotation information

See Washington, DC salary details

$860

$2.4K

$3.5K

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

As of Sep 7, 2026, the average weekly pay for flexible remote image annotation in Washington, DC is $2,397.46, according to ZipRecruiter salary data. Most workers in this role earn between $1,763.46 and $2,984.62 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 Washington, DC?

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

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

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

Flexible Remote Image Annotation jobs near you

Senior Machine Learning Engineer

Clearview AI, Inc.

Washington, DC • Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description


Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team. To learn more about us, and our revolutionary facial recognition technology, please visit www.clearview.ai.

Senior Machine Learning Engineer


Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models, not manage a team. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists.

Responsibilities:
  • Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production
  • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning
  • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale
  • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks
  • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies
  • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration
  • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code
  • Implement efficient, scalable data pipelines and inference infrastructure
  • Develop high-performance tooling in ML and data engineering
  • Additional duties and responsibilities as reasonably required by the employee's supervisor or CEO
Requirements:
  • Experience building, training, evaluating, and deploying ML models in production
  • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models
  • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets
  • Ability to solve open-ended problems and quickly learn new domains
  • Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints
  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience

Nice to have:
  • Experience inferring structured, real-world attributes from images
  • Experience training models on large-scale, real-world image datasets
  • Familiarity with vision-language models (VLMs)
  • Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code
  • Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance
  • Experience in an ML role at a growth-stage startup
  • Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV)
  • Medical, Dental, Vision, STD and LTD Plans
  • FSA - Medical and Dependent Care
  • EAP and wellness programs
  • 13 Paid Holidays
  • Unlimited PTO
  • Flexible work environment - 100% remote
  • 401(k) plan

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