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Data Labeling Jobs in Maryland (NOW HIRING)

WILLCOR Inc

Maritime Imagery Analyst

Suitland, MD

Participates in other testing of new algorithm outputs and capabilities, to include data labeling in support of maritime GEOINT objects. * Develop and maintain desktop procedures, techniques and ...

WILLCOR, Inc.

Maritime Imagery Analyst

Suitland, MD · On-site

Participates in other testing of new algorithm outputs and capabilities, to include data labeling in support of maritime GEOINT objects. * Develop and maintain desktop procedures, techniques and ...

WILLCOR, Inc

Maritime Imagery Analyst

Suitland, MD · On-site

Shift work will be required, and rotating shift work will be necessary. • Participates in other testing of new algorithm outputs and capabilities, to include data labeling in support of maritime ...

Govcio LLC

Lead Data Analyst

Fort George G Meade, MD · On-site

$144K - $154K/yr

This role defines data taxonomies, metadata requirements, labeling approaches, and governance considerations to ensure collected data is representative, comparable, and usable across diverse ...

Brillient

Data Scientist

Silver Spring, MD

The Data Scientist reviews submissions in support of revisions to labeling of approved NDAs. This often includes new data from clinical trials. The Data Scientist with input from other scientific ...

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$10

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$57

How much do data labeling jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data labeling in Maryland is $24.43, according to ZipRecruiter salary data. Most workers in this role earn between $16.05 and $28.03 per hour, depending on experience, location, and employer.

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

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is a Data Labeling job?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a Data Labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations. It is often performed remotely and may involve repetitive tasks with flexible schedules.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or remote, with pay rates varying across platforms and employers.

How do I become a data labeler?

To become a data labeler, you typically need basic computer skills, attention to detail, and the ability to follow instructions. Many positions require no formal degree and offer flexible, part-time schedules; familiarity with data annotation tools or platforms is often helpful. Applying through online job boards or company websites is common for entry-level roles.

Is data labelling a good career?

Data labeling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and basic computer skills. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.
What are the most commonly searched types of Data Labeling jobs in Maryland? The most popular types of Data Labeling jobs in Maryland are:
What are popular job titles related to Data Labeling jobs in Maryland? For Data Labeling jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in Maryland look for? The top searched job categories for Data Labeling jobs in Maryland are:
What cities in Maryland are hiring for Data Labeling jobs? Cities in Maryland with the most Data Labeling job openings:
Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Maryland as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,815 per year, or $24.4 per hour.
Clinical Data Scientist, FDA (Jr.)

Clinical Data Scientist, FDA (Jr.)

DRT Strategies, Inc.

Silver Spring, MD • On-site

$90K - $120K/yr

Full-time

Posted 23 days ago

Job description

Overview
DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, state and local government and commercial clients in health care, technology, and financial services industries.
The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together.
We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality.
Project Description:
The Clinical Analyst contractor position provides scientific and clinical analytical support to CDER Office of New Drugs (OND) multi-disciplinary review teams. The individual will assist in the evaluation of drug applications, review clinical safety data, labeling assessment, and preparation of scientific reports. The work requires advanced knowledge in health and data sciences and
the ability to apply scientific expertise to support risk determinations in the context of regulatory review.
Note: This is a support role. All regulatory decisions, final recommendations, and official communications with applicants remain the exclusive responsibility of qualified FDA
federal employees. The contractor's work products are subject to review and approval by FDA staff.
Job Summary:
The Clinical Analyst position interacts with many FDA stakeholders across several Offices and Centers specifically with clinical reviewers (Medical Officers) and statistical reviewers. This role will be responsible for reviewing safety data sufficiency and integrity, conducting safety data analyses, verifying safety data submitted by the applicant, and generating high-quality scientific reports.
Responsibilities:
Clinical Data Analysis and Review
  • Analyze and evaluate submitted data from applicants seeking permission to market new drugs for general use and prepare analytical summaries on the adequacy of safety data provided.
  • Review NDAs, BLAs, supplements, and amendments; prepare draft analytical reports and recommendations for FDA reviewer consideration.
  • Incorporate summaries from clinical safety data reviews as part of integrated multi-disciplinary assessments. Prepare, oversee, and maintain project schedules.
Labeling Review Support
  • Assist in the review of proposed drug labeling to assess whether safety claims are truthful and adequately supported,
  • Provide draft safety data analyses on labeling accuracy and completeness for review by FDA staff.
Scientific Correspondence and Reporting
  • Draft scientifically sufficient reports of findings that clearly communicate clinical safety analyses and conclusions.
  • Prepare draft correspondence identifying facts and information inadequately presented in sponsor submissions, for FDA reviewer finalization and issuance.
  • Prepare clear summaries of clinical safety data tables, figures and listings for FDA review team use.
Literature Review and Knowledge Management
  • Review scientific literature and maintain awareness of current clinical developments and evolving findings in relevant therapeutic areas. Support preparation of background materials for seminars, conferences, and industry meetings.
  • Stakeholder Support
  • Support clinical review teams in preparing for meetings with drug company representatives, advisory committees, and external scientific bodies.
Other Tasks
  • Lead meetings with clinical reviewers and statistical reviewers to present results from data quality assessments and standard safety data analyses.
  • Collaborate with CDER OND staff to optimize team processes and deliverables.
  • Work with FDA stakeholders to review background packages and mock safety datasets to assess appropriateness of controlled terminology and safety dataset structure.
  • Interact with government and contractor teams to help manage and monitor project progress, risk, issues, and track action items.
  • Manage, organize, and update SharePoint sites.
  • Assist in overall project support, as needed.
  • Support any other DRT tasks as assigned/requested by Portfolio Manager and Account Lead.
Required Experience:
  • Minimum of 3 years professional experience.
  • Technical proficiency in programming languages- R (mandatory) with demonstrated experience using R for data manipulation, analysis, and visualization in a clinical or regulatory research context.
  • R programming – ability to troubleshoot errors in R.
  • Experience with CDISC data standards (including SDTM and ADaM) and safety dataset structure (e.g., adsl.xpt, adae.xpt, adlb.xpt, advs.xpt, and adeg.xpt)
  • Understands data analytical methods (e.g., longitudinal analysis, time-to-event analyses, and causal/correlation analyses) for conducting safety data analyses (tables and figures)
  • Understands safety review elements including trial design, demographics, exposure, death, discontinuation, dose modification, SAE, TEAE, FMQ, AESI, laboratory tests, and vital signs. Working knowledge of safety analysis methods, including the evaluation of adverse event data, safety signal detection, and the preparation of standardized safety tables and figures.
  • Strong analytical and statistical skills to assess safety data.
  • Excellent organizational, time management, verbal and written communication skills.
  • Ability to independently manage a variety of projects with frequent interruptions and shifting priorities.
  • Ability to organize a continuous flow of work in a timely manner and meet mandatory deadlines.
  • Computer skills: MS Office Suite (particularly PowerPoint, Word, Excel), Adobe Acrobat.
  • Ability to work independently within a multidisciplinary team.
Preferred Experience:
  • Proficiency in manipulating data using R programming.
  • Experience and/or knowledge of analytical software including JReview, JMP, JMP Clinical, etc.
  • Experience in SAS programming.
  • Ability to apply knowledge of scientific research principles, study design concepts, and methods sufficient to evaluate clinical drug development programs.
  • Experience in applying clinical safety data analytical skills, including the ability to synthesize clinical and scientific evidence to inform risk assessments.
  • Experience in clinical trials, especially statistical hypothesis testing methods. Understands general concept of clinical trial design and drug development (e.g., adequate and well-controlled studies).
  • Statistical background, including experience with biostatistical methods commonly
    applied in clinical trial design, analysis, and interpretation (e.g., survival analysis, mixed-
    effects models, hypothesis testing).
  • Machine learning and AI background, including familiarity with predictive modeling
    techniques (e.g., classification models, regression models, random forest, or neural
    networks) and their potential applications in drug safety evaluation and regulatory science.
  • Epidemiological background, including experience with observational study design, real-world evidence, pharmacoepidemiology, or population-level safety surveillance methods.
  • Ability to work with little direct supervision on loosely defined tasks and coordinate work across multiple projects.
  • Experience identifying, articulating, and resolving complex, unique, and previously unresolved.
  • Familiarity with FDA regulatory process and/or working experience at FDA.
Education & Training:
  • PharmD or PhD in the STEM disciplines: bioinformatics, Public Health, Pharmacology, Toxicology, Biology, Biomedical Engineer, biology, biostatistics, epidemiology, health informatics, or pharmaceutical science.
Work Authorization, Clearance Requirement, & Additional Information:
  • This position requires the ability to obtain and maintain a U.S. government Public Trust clearance. Due to contract requirements, candidates must be U.S. citizens or lawful permanent residents (green card holders) to be eligible.
  • No agencies, third parties, or Corp-to-Corp submissions.
Salary Range:
  • $90,000-120,000
  • Salary commensurate with experience.

DRT Strategies, Inc. (DRT) follows the guidelines outlined by the Equal Employment Opportunity Commission (EEOC) to provide all employees and qualified applicants employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related conditions, transgender status, and sexual orientation), national origin, age, genetic information, disability, protected veteran status, or any other protected characteristic under federal, state, or local law.

Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing HR@drtstrategies.com, or by dialing 571-482-2517.

For additional information, please review the Know Your Rights: Workplace Discrimination is Illegal, E-Verify (English), E-Verify (Spanish). Right to Work (English), Right to Work (Spanish).

Please be aware of recruitment fraud where malicious individuals might pose as DRT Strategies. Only job postings and emails from drtstrategies.com are authentic and legitimate communications regarding DRT Strategies employment opportunities. Please contact Human Resources at hr@drtstrategies.com if you believe you have received a fraudulent email.

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