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Data Annotation Jobs in Halethorpe, MD (NOW HIRING)

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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.

Biologist (Genomics) (50865)

GAP SOLUTIONS INC

Baltimore, MD • On-site

Full-time

Re-posted yesterday

Job description

Position Objective: The National Institutes of Health requires contractor support for laboratory and computational analysis of genomic and epigenomic data. The work supports ongoing research involving genotyping, long-range sequencing, and DNA methylation profiling at the National Institute on Aging (NIA) within the National Institutes of Health (NIH).

Duties and Responsibilities:

  • Evaluate: Read quality, coverage, and depth and Sample integrity and contamination
  • Flag anomalies and provide preliminary interpretation.
  • Perform DNA extraction from blood, tissue, or cultured cells using established protocols. 1
  • Conduct genotyping assays (e.g., SNP arrays, PCR-based methods 2
  • Support long-range sequencing workflows (e.g., library prep and sequencing using long-read platforms such as PacBio or Oxford Nanopore). 3
  • Perform DNA methylation assays (e.g., bisulfite conversion, array-based or sequencing-based methods).
  • Execute established QC pipelines for sequencing and genotyping data.
  • Compile and document QC metrics in standardized formats.
  • Modify existing scripts and pipelines to support project needs.
  • Perform data analysis using: R (statistical analysis and visualization) and Scripting (Python, Bash, or equivalent)
  • Conduct: Variant calling and basic annotation and DNA methylation data processing and analysis and Data integration across datasets when directed
  • Maintain accurate laboratory notebooks and electronic records.
  • Identify routine technical issues and implement standard troubleshooting steps.
  • Prepare: Summary tables and figures and Written summaries of methods and results
  • Present findings in internal meetings to NIH staff
  • Contribute to draft reports, manuscripts, or project updates.
  • Sample Processing Logs DNA extraction records and yields
  • Genotyping/Sequencing Outputs Raw and processed data files
  • QC Reports Standardized quality metrics and summaries
  • Analysis Outputs Variant and methylation results, visualizations
  • Scripts and Code Documented R/Python/Bash scripts
  • Monthly Summary of work performed and findings
  • Presentation Materials Slides or briefings for NIH staff

Basic Qualifications:

  • Masters Degree in Biology or similar field of study
  • At least 2 years of experience
  • Proficiency in R and at least one scripting language
  • Experience with QC and data visualization
  • Familiarity with genomic data formats (FASTQ, BAM, VCF)

Minimum Qualifications:

  • Strong communication skills, both oral and written.
  • Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.  

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

This position is contingent upon contract award.

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