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Annotation Math Jobs in Ashburn, VA (NOW HIRING)

Senior Machine Learning Engineer

Mclean, VA

$107K - $147K/yr

Experience with data curation/annotation workflows and dataset quality control. * Software ... S. in engineering, math, computer science, or related field; M.S./Ph.D. preferred. * Clearance:

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Experience with data curation/annotation workflows and dataset quality control. * Software ... S. in engineering, math, computer science, or related field; M.S./Ph.D. preferred. * Clearance:

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Annotation Math information

See Ashburn, VA salary details

$23K

$60.2K

$96.6K

How much do annotation math jobs pay per year?

As of Jun 11, 2026, the average yearly pay for annotation math in Ashburn, VA is $60,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $71,600.00 per year, depending on experience, location, and employer.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians for roles in cryptography, data analysis, and intelligence analysis. These positions often require strong analytical skills, a background in mathematics or related fields, and security clearances. Mathematicians at the FBI may work with specialized tools and require relevant certifications or education levels.

What is the highest paid math job?

The highest paid math jobs typically include roles such as quantitative analysts, data scientists, and actuarial directors, often found in finance, technology, and insurance industries. These positions require advanced skills in statistics, programming, and data analysis, and they can offer salaries exceeding $150,000 annually depending on experience and location.

What is the difference between Annotation Math vs Data Annotator?

AspectAnnotation MathData Annotator
Required CredentialsBasic education, sometimes specialized training in annotation toolsHigh school diploma or equivalent, on-the-job training
Work EnvironmentData labeling teams, tech companies, remote or onsiteData labeling teams, tech companies, remote or onsite
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Common Search IntentUnderstanding roles related to data annotation and mathComparing data annotation jobs

Annotation Math and Data Annotator roles both involve data labeling within AI and machine learning industries. Annotation Math may focus more on mathematical annotations, while Data Annotator generally covers broader data labeling tasks. Both roles often share similar work environments and required skills, making them closely related in the data annotation field.

What are Annotation Math jobs?

Annotation Math jobs involve labeling, tagging, and categorizing mathematical data, such as equations, formulas, graphs, or written math problems, to create high-quality datasets. These annotated datasets are often used to train artificial intelligence (AI) and machine learning models to recognize and process mathematical content accurately. Annotation Math professionals need a strong understanding of mathematics, attention to detail, and familiarity with annotation tools or platforms. This work is critical for improving technologies like automated math solvers, educational apps, and document digitization.

What are the key skills and qualifications needed to thrive as an Annotation Math Specialist, and why are they important?

To thrive as an Annotation Math Specialist, you need a solid understanding of mathematics, attention to detail, and familiarity with educational or assessment standards, often supported by a relevant degree. Proficiency with annotation tools, data labeling platforms, and sometimes LaTeX or similar mathematical typesetting systems is typically required. Strong analytical thinking, communication, and the ability to work independently are essential soft skills for accuracy and consistency. These skills and qualities are crucial to ensure high-quality, precise annotations that support machine learning, educational resources, or assessment development.

How much does data annotation pay for math?

Data annotation jobs for math typically pay between $10 and $20 per hour, depending on the complexity of the tasks and the employer. Rates can vary based on experience, the platform used, and whether the work is freelance or full-time, with some specialized roles offering higher compensation for advanced skills in math or data labeling tools.

Is data annotation a good career?

Data annotation for roles like annotation math involves labeling data to train machine learning models, often requiring attention to detail and familiarity with tools like annotation platforms. It can offer flexible schedules and entry-level opportunities but may have variable pay and limited advancement without additional skills or certifications.

What are some common challenges faced by professionals in Annotation Math roles, and how can they be addressed?

Professionals in Annotation Math roles often encounter challenges such as interpreting ambiguous mathematical data, maintaining consistency in labeling complex equations, and managing repetitive tasks that require high attention to detail. Addressing these challenges involves following clear annotation guidelines, collaborating with team members to resolve uncertainties, and utilizing quality assurance tools to minimize errors. Regular feedback sessions and ongoing training also help ensure accuracy and support professional growth in this specialized field.
What job categories do people searching Annotation Math jobs in Ashburn, VA look for? The top searched job categories for Annotation Math jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Annotation Math jobs? Cities near Ashburn, VA with the most Annotation Math job openings:
Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery

Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery

Bluemont Technology & Research, Inc.

Bethesda, MD

Other

Posted 26 days ago


Job description

My Account
Job Openings >> Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery
Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery
Summary
Title: Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery ID: 2857 Clearance: Must be able to obtain Tier 5+ (Top Secret w/SCI) plus Polygraph Location: Bethesda, Maryland
Description

JOB TITLE: Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery
LOCATION: Bethesda, Maryland
CLEARANCE: No clearance to start but preferred. MUST be US Citizen to be clearable. Prefer TS/SCI with CI Poly.
JOB RESPONSIBILITIES:
 Attend meetings, workshops, conferences and testing events as a Subject Matter Expert.
 Assist with the development of presentations such as Program Management Reviews.
 Serve as a Liaison between Performers, Test & Evaluation contributors, Government and Transition partners.
 Review, provide analysis, and make recommendations concerning technical reports, data and Performer approaches.
 Examine data sources and literary sources for emerging technology related to the Program. 
 Provide technical support and expertise on new concepts beyond the Program within areas of expertise.
REQUIRED EXPERTISE:
 Must have current Top Secret/SCI (Tier 5+) with polygraph clearance.
Bachelors' degree in physics, mathematics, computer science, or relevant engineering fields (e.g. electrical, computer, systems, software) with eight plus (8+) years of work experience, or Masters' degree with four plus (4+) years of work experience, or PhD with two plus (2+) years of work experience. PhD is desirable, but not absolutely required if work experience provides depth and breadth of technical understanding and evidence of problem-solving capability equivalent to what would be expected for a PhD.
Five (5) years of experience in computer vision R&D.
Two (2) years of experience with R&D of machine learning and deep learning algorithms.
One (1) year of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) team.
Two (2) years of experience creating program plans, work breakdown structures, and milestone schedules.
Excellent writing and editing skills. Ability to develop succinct, comprehensive, understandable documents using complex data from multiple sources.
Excellent slide development and PowerPoint skills. Ability to visually communicate complex ideas at a high level for technically savvy, but non-expert audiences.
Strong organizational, problem solving, and time management skills. Must be detail oriented.
Ability to proactively manage multiple, concurrent tasks.
At least 4 of the qualifications listed in Desired Expertise.
Experience in the Intelligence Community (IC) or Department of Defense (DoD), including experience with requirements, CONOPS and research technology transition.
DESIRED EXPERTISE:
Experience with architectures to support large spatiotemporal data management and processing.
Experience with the institutional review board (IRB) process for human subjects' research and IRB approved video collection.
Experience with development in the Open Media Processing Framework (OpenMPF).
Experience with deployment of computer vision analytics in a large-scale framework.
Experience managing/performing large-scale video collection, curation and annotation.
Experience with video collection from fixed security/surveillance, airborne (e.g. drone, UAV), and ground mobile (e.g. cell phone, auto mounted, etc.) video sensors.
Experience with image or video frame geo-localization.

Bluemont Technology & Research, Inc. (Bluemont) offers a premium benefits package.  Our culture is based on treating people like you would treat yourself.  The company is focused on challenging applications of cutting-edge technologies and data intensive applications.  Bluemont maintains a drug-free workplace and performs background checks.
Bluemont is an E-Verify Employer. Follow this link to view: www.dhs.gov/E-Verify

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