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Annotation Math Jobs in Brandywine, MD (NOW HIRING)

Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and ... Strong engineering background preferably in Computer Science, Mathematics, or other quantitative ...

New

Senior Machine Learning Engineer

Mclean, VA

$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

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$22.5K

$58.9K

$94.6K

How much do annotation math jobs pay per year?

As of Jun 18, 2026, the average yearly pay for annotation math in Brandywine, MD is $58,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,100.00 and $70,100.00 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 Brandywine, MD look for? The top searched job categories for Annotation Math jobs in Brandywine, MD are:
What cities near Brandywine, MD are hiring for Annotation Math jobs? Cities near Brandywine, MD with the most Annotation Math job openings:
Field Engineer, Public Sector

Field Engineer, Public Sector

Scale AI

Washington, DC โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space.

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with.

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

  • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back
  • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
  • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success
  • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
  • Be accountable for the customer's technical experience throughout their time with Scale
  • Work with AEs and PMs to identify customer-specific feature requests
  • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
  • Evangelize Scale and interact with customers at major events
  • Have an active TS/SCI clearance

Ideally you'd have:

  • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
  • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
  • Prior experience developing with Python and JavaScript, or other modern software languages
  • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
  • Strong project management and interpersonal skills
  • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
  • High level of comfort communicating effectively across internal and external organizations
  • Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

  • Experience in AI
  • Experience working in classified environments
  • Previous experience as a technical go-to-market resource
  • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
  • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
  • Experience automating infrastructure and configuration management using Ansible or similar tools

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$190,000โ€”$290,000 USD

The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:

$170,000โ€”$260,000 USD

The base salary range for this full-time position in the location of St. Louis is:

$140,000โ€”$220,000 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.