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Data Annotation Jobs in Halethorpe, MD (NOW HIRING)

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

You will help to accurately and automatically tokenize language data with spoken or written origins, develop automated solutions for the annotation of language data with parts of speech information ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

You will help to accurately and automatically tokenize language data with spoken or written origins, develop automated solutions for the annotation of language data with parts of speech information ...

Nextonic Solutions

Biologist

Baltimore, MD · On-site

Variant calling and basic annotation and DNA methylation data processing and analysis and Data integration across datasets when directed Prepares, organizes and maintains various lab samples ...

Nextonic Solutions

Biologist

Catonsville, MD · On-site

Variant calling and basic annotation and DNA methylation data processing and analysis and Data integration across datasets when directed Prepares, organizes and maintains various lab samples ...

Nextonic Solutions

Biologist

Catonsville, MD · On-site

Variant calling and basic annotation and DNA methylation data processing and analysis and Data integration across datasets when directed Prepares, organizes and maintains various lab samples ...

Nextonic Solutions LLC

Biologist

Baltimore, MD

$85K - $135K/yr

Variant calling and basic annotation and DNA methylation data processing and analysis and Data integration across datasets when directed Prepares, organizes and maintains various lab samples ...

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All JobsData Annotation JobsData Annotation Jobs in Halethorpe, MD

Data Annotation information

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What job categories do people searching Data Annotation jobs in Halethorpe, MD look for? The top searched job categories for Data Annotation jobs in Halethorpe, MD are:
What cities near Halethorpe, MD are hiring for Data Annotation jobs? Cities near Halethorpe, MD with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Halethorpe, MD as of August 2026, with employment types broken down into 61% Full Time, 6% Part Time, and 33% Contract. Highlights an 67% In-person, 6% Hybrid, and 27% Remote job distribution.

Senior Data Scientist

Kendrit Consulting Group

Baltimore, MD • On-site

$70 - $80/hr

Full-time

Re-posted 6 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.