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Annotation Math Jobs in Washington (NOW HIRING)

Omm IT Solutions

Senior Data Scientist

Ellicott City, MD · On-site

Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with ... annotation tools and semantic frameworks. \n * Ability to clean and process large amounts of real ...

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Annotation Math information

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 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 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 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 Washington? For Annotation Math jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Annotation Math jobs in Washington look for? The top searched job categories for Annotation Math jobs in Washington are:
What cities in Washington are hiring for Annotation Math jobs? Cities in Washington with the most Annotation Math job openings:
Annotation Math jobs near you

Senior Data Scientist

Omm IT Solutions

Ellicott City, MD • On-site

Contractor

Posted 6 days ago

Job description

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PLEASE NOTE:<\/b><\/span><\/span><\/u>
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  • It is 100% onsite position in Woodlawn, MD.<\/b>
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  • Candidate should be local and ready to work on onsite 5 days a week at Client HQ in Woodlawn, MD.<\/b><\/span><\/span><\/span>
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  • Candidate must be able to obtain and maintain a public trust clearance<\/b>
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  • <\/b><\/span><\/span> <\/b><\/span><\/span><\/span>Interviews will be scheduled quickly for early next week. There will only be one round of interview<\/b><\/span><\/span><\/span>
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    Position Description:<\/b><\/span><\/span><\/u>
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    • Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs
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    • Well versed in SQL and analyzing trends and transactional data.
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    • Understand real world challenges and develop automated data solutions
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    • Develop, test, and deploy new techniques for NLP understanding
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    • Scalable development\/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
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    • Train and optimize NLP\/LLM models and create Python based pipelines
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    • Experience building cloud native solutions on AWS
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    • Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
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    • Advise on the methods and data needed and\/or available to evaluate the (intelligence or data) problem.
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    • Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
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    • Provide accurate, timely, complex, and sophisticated data analysis.
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      Key Required Skills:<\/b><\/span><\/span><\/u>
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      • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
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      • Experience with Generative AI and Large Language Models (LLM)
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      • Excellent Communication skills.
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        Requirements<\/h3>\n
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        Skills Requirements:<\/b><\/span><\/span><\/span>
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        Basic Qualification:<\/b><\/span><\/span><\/span><\/u>
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        • Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree<\/span><\/span><\/span>
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        • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, and AI\/ML\/LLM engineering.<\/span><\/span><\/span>
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        • Overall 10+ years' experience in IT industry<\/span><\/span><\/span>
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          Required Skills:<\/b><\/span><\/span><\/span><\/u>
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          • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.<\/span><\/span><\/span>
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          • Experience with Generative AI and Large Language Models (LLM)<\/span><\/span><\/span>
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          • Evidence of true self\-starter and operating independently.<\/span><\/span><\/span>
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          • Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks<\/span><\/span><\/span>
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          • Knowledge of TensorFlow, PyTorch, Pandas, scikit\-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.<\/span><\/span><\/span>
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          • Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and\/or experience with semantic search.<\/span><\/span><\/span>
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          • 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.<\/span><\/span><\/span>
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          • Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.<\/span><\/span><\/span>
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          • Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.<\/span><\/span><\/span>
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          • Ability to clean and process large amounts of real\-world data.<\/span><\/span><\/span>
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          • Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.<\/span><\/span><\/span>
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          • Excellent Communication skills.<\/span><\/span><\/span>
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          • Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)<\/span><\/span><\/span>
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          • Excellent analytical skills to identify potential risks and propose effective solutions.<\/span><\/span><\/span>
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          • 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.<\/span><\/span><\/span>
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            Desired Skills:<\/b><\/span><\/span><\/span><\/u>
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            • Prior experience with federal or state governments IT projects.<\/span><\/span><\/span>
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            • Industry experience preferred<\/span><\/span><\/span>
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            • Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.<\/span><\/span><\/span>
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            • Experience working in an analytical research environment.<\/span><\/span><\/span>
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            • Experience in parallel processing such as GPU programming with CUDA<\/span><\/span><\/span>
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            • Experience with Mathematica<\/span><\/span><\/span>
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            • Experience using markup languages such as LaTeX, HTML, etc.<\/span><\/span><\/span>
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            • Experience with Natural Language Processing for anomaly detection<\/span><\/span><\/span>.
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