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Ai Annotation Remote Jobs in Washington (NOW HIRING)

Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ... Experience working with remote sensing imagery including geometry, radiometric normalization ...

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Ai Annotation Remote information

What are the most common challenges faced by remote AI annotation specialists, and how can they be effectively managed?

Remote AI annotation specialists often encounter challenges such as maintaining consistent data quality, managing repetitive tasks, and communicating effectively with geographically dispersed teams. To overcome these issues, it's important to establish clear annotation guidelines, participate in regular team check-ins, and use collaboration tools for feedback and support. Utilizing productivity techniques and taking scheduled breaks can also help maintain focus and accuracy throughout the workday.

What are the key skills and qualifications needed to thrive as an AI Annotation Remote Worker, and why are they important?

To thrive as an AI Annotation Remote Worker, you need strong attention to detail, data labeling accuracy, and familiarity with basic computer operations, often supported by a high school diploma or higher. Experience with annotation platforms, image/video labeling tools, and understanding of data privacy protocols are typically required. Excellent communication, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure high-quality, precise data labeling that directly impacts the effectiveness of AI models.

What are AI Annotation Remote jobs?

AI Annotation Remote jobs involve labeling, categorizing, or tagging data such as images, videos, text, or audio to train artificial intelligence and machine learning models. These tasks are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. The work helps improve the accuracy of AI systems in areas like speech recognition, computer vision, and natural language processing. It is common for these positions to be part-time or contract-based, and attention to detail is essential for success in this field.

What is the difference between Ai Annotation Remote vs Data Labeler?

AspectAi Annotation RemoteData Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentOften compared for entry-level AI data tasksRelated role for data preparation tasks

Ai Annotation Remote and Data Labeler roles share similar requirements and work environments, focusing on data annotation for AI systems. However, Ai Annotation Remote often emphasizes more specialized tasks within AI development, while Data Labeler roles may include broader data preparation activities. Both are suitable for remote work and require attention to detail, making them popular choices for those entering the AI industry.

What are the most commonly searched types of Ai Annotation jobs in Washington? The most popular types of Ai Annotation jobs in Washington are:
What are popular job titles related to Ai Annotation Remote jobs in Washington? For Ai Annotation Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Ai Annotation Remote jobs in Washington look for? The top searched job categories for Ai Annotation Remote jobs in Washington are:
What cities in Washington are hiring for Ai Annotation Remote jobs? Cities in Washington with the most Ai Annotation Remote job openings:
Infographic showing various Ai Annotation Remote job openings in Washington as of June 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Staff Engineer, AI

BlackSky

Herndon, VA โ€ข On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Staff AI Engineer

About Us:

BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite imagery, automated analytics and high-frequency monitoring of strategic locations, economic assets and events from around the globe. BlackSky is trusted by the most demanding allied military and intelligence organizations and commercial companies to deliver foresight into critical matters that affect national security and the economy. BlackSky's data enables governments and businesses to see, understand and anticipate change as it happens, giving them the ultimate strategic advantage so they can act quickly. Our global team works with cutting-edge technology to make a difference around the world and prides itself on being people-first, customer-focused and fun.

BlackSky is seeking a Staff AI Engineer to lead the architecture, development, and delivery of mission-critical AI solutions within customer environments. This is a hands-on role and an opportunity to develop and shape an exciting new growth area. The ideal candidate for this role blends deep technical ownership (roadmap, R&D, AI/ML systems) with customer-facing solution delivery (scoping, prototype-to-production, and executive communication). This senior individual contributor role will partner with CV, MLOps, Data QA, Solutions, and BD teams to ensure BlackSky delivers reliable and actionable insights. The role will be full-time based out of Herndon, VA working in our SCIF with occasional customer site commitments and will report to the Senior Manager of AI.

Responsibilities:

  • Partner with CV and MLOps to design and extend components needed to ensure models are trained, versioned, deployed, monitored, and maintained reliably in customer environments.
  • Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and identify data-quality improvements based on model failure modes.
  • Independently prototype, evaluate, and deploy AI capabilities in a secure development environment.
  • Communicate technical strategy, progress, risks, and opportunities clearly to leadership, cross-functional partners, and other stakeholders.
  • Contribute to proposals, white papers, and long-term strategy, shaping future mission-aligned geospatial AI investments.
  • Own and architect the mission-aligned roadmap for geospatial CV and applied AI, partnering with customers to translate mission requirements into technical designs and implementing core components.
  • Other job-related duties as assigned.

Required Qualifications:

  • Minimum of 10 years of hands-on software engineering experience, including at least 4+ years developing and deploying applied AI/ML systems and pipelines.
  • Bachelor's degree in CS/EE/math/statistics or a related quantitative field.
  • Strong proficiency in Python and modern ML/CV libraries such as PyTorch or TensorFlow.
  • Experience researching, building, and evaluating production-ready CV models for detection, segmentation, change detection, or related tasks.
  • Experience working with remote sensing imagery including geometry, radiometric normalization, augmentation, and sensor-specific challenges.
  • Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr.
  • Experience with modern ML infrastructure, including cloud services (e.g., AWS), containerization and orchestration platforms (e.g., Kubernetes), and the ability to adapt these systems to customer-specific or offline environments such as secure enclaves, on-prem systems, or air-gapped deployments.
  • Strong ability to communicate complex technical concepts to diverse audiences including leadership and technical teams.
  • Must have an active US Top Secret clearance with an SCI.

Preferred Qualifications:

  • M.S. or Ph.D. in CS/EE/math/statistics or a related quantitative field.
  • At least 2 years of experience designing, building, and operating AI/ML systems in secure, on-prem and/or air-gapped systems.
  • Experience working in DoD, IC, or Fed/Civ environments.
  • Experience designing and executing large-scale CV experiments, including dataset construction, synthetic/augmented data generation, and evaluation protocols tailored to mission needs.
  • Familiarity with remote sensing data sources including BlackSky, Airbus, Planet, and Vantor.
  • Demonstrated experience designing CV/ML systems and pipelines that meet or exceed benchmarks and are optimized for production constraints such as latency and efficiency.
  • Exposure to foundation models, VLMs, and other multimodal approaches for geospatial imagery.

Life at BlackSky for full-time US benefits eligible employees includes:

  • Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance
    • BlackSky pays 100% of employee-only premiums for medical, dental and vision and contributes $100/month for out-of-pocket expenses!
  • 15 days of PTO, 11 Company holidays, four Floating Holidays (pro-rated based on hire date), one day of paid volunteerism leave per year, parental leave and more
  • 401(k) pre-tax and Roth deferral options with employer match
  • Flexible Spending Accounts
  • Employee Stock Purchase Program
  • Employee Assistance and Travel Assistance Programs
  • Employer matching donations
  • Professional development
  • Mac or PC? Your choice!
  • Awesome swag

BlackSky is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer All Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.ย 

EEO/AAP/ Pay Transparency Statements:

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf


About BlackSky

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Herndon, VA, US

Year founded

2013