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Data Annotation Tech Jobs in Baltimore, MD (NOW HIRING)

Omm IT Solutions

Senior Data Scientist

Ellicott City, MD · On-site

... annotation tools and semantic frameworks. \n * Ability to clean and process large amounts of real ... Prior experience with federal or state governments IT projects. \n * Industry experience preferred ...

Integral

Logistics Specialist IV

Aberdeen, MD · On-site

$125K - $142K/yr

... and compiles data on standardization and interchangeability of parts to expedite logistic ... Since our founding in 1998, we have helped clients leverage existing and emerging technologies to ...

Integral

Supply Chain Specialist

Aberdeen, MD · On-site

$65K - $80K/yr

... annotation, verifying document numbers (transactions) and submitting documents to auditors for ... Since our founding in 1998, we have helped clients leverage existing and emerging technologies to ...

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All JobsData Annotation Tech JobsData Annotation Tech Jobs in Baltimore, MD

Data Annotation Tech information

See Baltimore, MD salary details

$12

$22

$34

How much do data annotation tech jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data annotation tech in Baltimore, MD is $22.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $26.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Annotation Tech position, and why are they important?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What are the most commonly searched types of Data Annotation Tech jobs in Baltimore, MD? The most popular types of Data Annotation Tech jobs in Baltimore, MD are:
What are popular job titles related to Data Annotation Tech jobs in Baltimore, MD? For Data Annotation Tech jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech jobs in Baltimore, MD look for? The top searched job categories for Data Annotation Tech jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Annotation Tech jobs? Cities near Baltimore, MD with the most Data Annotation Tech job openings:
Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in Baltimore, MD as of July 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $47,210 per year, or $22.7 per hour.
Senior Data Scientist

Senior Data Scientist

Comprehensive Resources Inc.

Woodlawn, MD • On-site

Other

Posted 12 days ago

Job description

Role: Senior Data Scientist
Location: Woodlawn, MD - Onsite / Locals Only


Clearance: Must be able to obtain and maintain Public Trust clearance.


Candidate should be able to go for a f2f interview

Summary :-
We need a hands-on Senior Data Scientist with deep NLP and LLM/Generative AI experience to build and deploy automated data solutions, train and optimize NLP/LLM models, and support complex analytic work using Python, SQL, and cloud-native (AWS) tooling.

Must-Have Skills:-

  • Strong NLP experience: Python, NLP frameworks, SQL, Pandas, NLTK, spaCy
  • Generative AI / LLM experience
  • Excellent written and verbal communication skills

Key Responsibilities :-

  • Develop, test, and deploy NLP understanding techniques
  • Scalable ML/GenAI (LLM) development and deployment
  • Train/optimize NLP/LLM models; build Python-based pipelines
  • Build cloud-native solutions on AWS
  • Analyze trends and transactional data via SQL
  • Translate real-world/analytic problems into data solutions and recommendations
  • Collaborate with data collectors/analysts to close monitoring gaps
  • Deliver accurate, timely, sophisticated data analysis

Requirements :-

  • Bachelor's in Statistics, Applied Math, Computer Science, or Information Science (or equivalent industry experience)
  • 10+ years overall IT industry experience
  • Fluency in Python, Git, standard packages (Pandas, NumPy, Matplotlib), and ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • AWS EC2 experience; Azure ML a plus
  • Experience with Spark/Airflow or similar data engineering/orchestration frameworks, and/or semantic search
  • Expert-level statistical/ML modeling (supervised and unsupervised)
  • MLOps/LLMOps and model deployment experience
  • GenAI/NLP libraries (regex, spaCy, LangChain), text annotation tools, semantic frameworks
  • Experience with DB2, Oracle, SQL Server, Hadoop, flat files, and RDBMS (PostgreSQL, MySQL, SQLite)
  • Strong self-starter, able to work independently
  • Strong analytical, problem-solving, and cross-functional collaboration skills, including communicating with executive leadership
  • Prior federal/state government IT project experience strongly preferred

Nice to Have :-

  • Hadoop ecosystem (Spark, Impala, Hive)
  • Analytical research environment experience
  • GPU/CUDA parallel processing
  • Mathematica
  • LaTeX/HTML or other markup languages
  • NLP for anomaly detection

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