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Annotation Math Jobs in Baltimore, MD (NOW HIRING)

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Annotation Math information

See Baltimore, MD salary details

$22.4K

$58.5K

$93.9K

How much do annotation math jobs pay per year?

As of Sep 9, 2026, the average yearly pay for annotation math in Baltimore, MD is $58,463.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $69,600.00 per year, depending on experience, location, and employer.

What is an annotation math job?

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 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 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.

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 popular job titles related to Annotation Math jobs in Baltimore, MD?

For Annotation Math jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Annotation Math jobs in Baltimore, MD look for?

The top searched job categories for Annotation Math jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Annotation Math jobs?

Cities near Baltimore, MD with the most Annotation Math job openings:

Annotation Math jobs near you
Infographic showing various Annotation Math job openings in Baltimore, MD as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $58,463 per year, or $28.1 per hour.

Senior Data Scientist

Baltimore, MD • On-site

Kendrit Consulting Group
IT Services • 11 - 50 employees
Learn more about Kendrit Consulting Groupexternal

$70 - $80/hr

Full-time

Re-posted 4 days ago

Job description

Seeking a Senior Data Scientist (NLP) to join our team in Woodlawn, MD supporting a large federal agency. This role requires deep expertise in Natural Language Processing (NLP) and Generative AI. In this role, you will bridge the gap between complex algorithmic research and scalable production systems. You will not only build sophisticated language models but also act as a technical leader, translating intricate data insights into strategic business decisions and collaborating closely with cross-functional teams.
*This is a permanent role expected to be onsite 5 days a week.
Primary Responsibilities:
· Apply expertise in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs.
· Query and analyze complex transactional data using SQL.
· Understand real world challenges and develop automated data solutions.
· Develop, test, and deploy new techniques for NLP understanding.
· Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models).
· Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
· Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
· Collaborate with data collectors and analysts to identify and close gaps in complex monitoring problems.
· Provide accurate, timely, complex, and sophisticated data analysis.
· Train and optimize NLP/LLM models and create Python based pipelines.
· Build cloud native solutions on AWS.
Minimum Qualifications:
· Ability to obtain and maintain a Public Trust clearance is required.
· Master's with 10+ years, Bachelor's 12+ years, or 18+ years of relevant experience.
· Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science and industry experience in Python, SQL, NLP (spaCy/NLTK), and LLM engineering.
· Experience with Generative AI and Large Language Models (LLMs)
· Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
· Expertise with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
· Fluent in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks
· Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), and AWS EC2.
· Experience with scalable data frameworks (Apache Spark) and workflow orchestration tools (Apache Airflow).
· Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.
· Proficient in extracting and manipulating data from diverse sources, including SQL databases (DB2, Oracle, SQL Server), Hadoop, and flat files.
· Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.).
· Experience with NLP and Generative AI libraries (e.g., spaCy, LangChain), text annotation, and semantic frameworks.
· Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.
· Excellent analytical skills to identify potential risks and propose effective solutions.
· Ability to clean and process large amounts of real-world data.
Desired Qualifications:
· Prior experience delivering IT projects within federal or state government sectors is highly preferred.
· Experience with or a willingness to learn distributed processing via the Hadoop ecosystem (Spark, Impala, Hive).
· Experience in parallel processing such as GPU programming with CUDA.
· Experience with Natural Language Processing for anomaly detection.
· Experience using markup languages such as LaTeX, HTML, etc.
· Experience with Mathematica.