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Flexible Remote Image Annotation Jobs in Reston, VA

10a Labs

AI Red Teamer

Washington, DC · On-site +1

$70K - $90K/yr

Develop and run adversarial test suites-both manual and scripted-for LLMs and image / video models ... Fully remote (U.S.-based) with flexible hours. * Comprehensive health, dental, and vision.

10a Labs

Engineering Fellowship

Washington, DC · On-site +1

Computer vision skills (OCR, image classification, deep fake detection) * Familiarity with ... Remote work (based in the continental U.S.) * Flexible schedule, up to 20 hours per week ...

Manulife

Senior Underwriting Consultant

Washington, DC · Remote

$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 ...

Ad Hoc

Senior DevSecOps Engineer

Mclean, VA · Remote

$115K - $158K/yr

Built for a remote life Our culture, communications, and tools are built for remote work, enabling ... Embedding security across the pipeline ("shift left"), including SAST, SCA, container and image ...

Lynker Corporation

Scientific Programmer

Silver Spring, MD · On-site +1

$78K - $100K/yr

Must have a Bachelor's degree in GIS, Remote Sensing, Marine Science, Engineering, Biology ... Experience with digital cartography, image processing, concept formulation, metadata documentation ...

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 ...

AVIAN, LLC

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Experience with signal/image processing, geospatial modeling or voice/data communications * Prior ... Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions ...

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Experience with signal/image processing, geospatial modeling or voice/data communications * Prior ... Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions ...

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All JobsImage Annotation JobsFlexible Remote Image Annotation JobsFlexible Remote Image Annotation Jobs in Reston, VA

Flexible Remote Image Annotation information

See Reston, VA salary details

$790

$2.2K

$3.3K

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

As of Jul 27, 2026, the average weekly pay for flexible remote image annotation in Reston, VA is $2,202.21, according to ZipRecruiter salary data. Most workers in this role earn between $1,621.15 and $2,740.38 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, and why are they important?

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 job categories do people searching Flexible Remote Image Annotation jobs in Reston, VA look for? The top searched job categories for Flexible Remote Image Annotation jobs in Reston, VA are:
What cities near Reston, VA are hiring for Flexible Remote Image Annotation jobs? Cities near Reston, VA with the most Flexible Remote Image Annotation job openings:
Flexible Remote Image Annotation jobs near you
Infographic showing various Flexible Remote Image Annotation job openings in Reston, VA as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution, with an average salary of $114,515 per year, or $55.1 per hour.

Senior Software Developer (C++) in Bioinformatics and Big Data

Black Canyon Consulting

Bethesda, MD • On-site, Remote

$58.25 - $77/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 hours ago

Job description

Overview

Black Canyon Consulting (BCC) is searching for a Sr. Software Developer in Bioinformatics and Big Data to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. 

NCBI, the National Center for Biotechnology Information, the nation's premier biomedical resource, is seeking a software developer to help deliver biological sequence annotation and data curation infrastructure for the nation's foremost sequence and biomedical literature repositories. Sites at NCBI, a part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), see four million daily users searching for gene sequence data, biomedical journal citations, and a wide array of other information that directly impacts biomedical research and public health. NCBI's annotation pipelines not only serve these diverse expert communities - they actually drive new life sciences discoveries, ranging from medical health (viruses and pandemics, genetic diseases, cancer) to public health (food safety monitoring, antimicrobial resistance, viral outbreaks), to basic research topics in computational biology, bioinformatics and microbial diversity, and many more.

On a technical level, NCBI's wide range of applications, platforms (e.g. node, Python, Django, C++), and applications and environments (petabyte-level big data, multiple cloud providers) serve more users than the US Postal Service and see more traffic than the IRS at tax time. We embrace FAIR principles (Findable, Accessible, Interoperable, Reusable) and are on the cutting edge of civic tech and cloud computing.

This role calls for more than an expert coder and architect - someone who can work equally effectively with subject-matter experts, user researchers, designers, product managers, scientists, security and DevOps engineers, and more. Work with teams of dedicated, skilled developers, researchers, and product professionals as you build robust, flexible solutions serving dozens of production applications, APIs and services. Join us!

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

 Duties & Responsibilities:
  • Responsible for the development, implementation, testing, and continued maintenance of NCBI bioinformatics software and information retrieval systems
  • Work with a diverse group of scientists, bioinformaticians and other developers across the center to implement efficient bioinformatics algorithms
  • Learn new technologies, keep up with internal systems, and share your knowledge with the team
Required qualifications:
  • 5+ years of experience handling large amounts of data or working in a distributed computing environment
  • Programming experience in a Linux environment
  • Proficiency in C++
  • Experience with MS SQL server and relational database design and optimization
  • Fluency in some scripting languages such as BASH, csh, Perl, or Python
Preferred qualifications:
  • 5+ years of working with genetic and biological data
  • Proficiency in Python and/or JavaScript and familiarity with their associated ecosystems
  • Experience with MongoDB or other NoSQL database technology
  • Experience with Docker or other containerization mechanisms
  • Experience with CI/CD pipelines, unit testing, integration and regression testing
  • Experience using GitHub
  • Experience with Cloud technologies a strong plus

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