1

Data Annotation Jobs in Nottingham, MD (NOW HIRING)

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 ...

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 ...

Showing results 21-40

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 are the most commonly searched types of Data Annotation jobs in Nottingham, MD? The most popular types of Data Annotation jobs in Nottingham, MD are:
What job categories do people searching Data Annotation jobs in Nottingham, MD look for? The top searched job categories for Data Annotation jobs in Nottingham, MD are:
What cities near Nottingham, MD are hiring for Data Annotation jobs? Cities near Nottingham, MD with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in Nottingham, MD as of August 2026, with employment types broken down into 64% Full Time, 8% Part Time, and 28% Contract. Highlights an 66% In-person, 6% Hybrid, and 28% Remote job distribution.

Logistician (contingent 034)

SPS

Aberdeen Proving Ground, MD • On-site

Full-time

Re-posted 24 days ago


Job description

Title: Logistician (contingent 034) (2)
Location: APG, MD
Requirements:
  • Coordinate and define logistics requirements for milestone decisions and other decisions, reviews and assessments, to include independent logistics assessments
  • Prepare and review miscellaneous reports provided to senior management.
  • Assist CPE elements with preparing and providing input into the formulation of short- and long-range logistics and product support planning.
  • Provide input, analysis and recommend changes to logistics resource planning and budgetary products derived from logistics requirements and various enterprise.
  • Support logistics audits and audit readiness testing by completing such actions as collecting existing auditable documents for assessment, examining documents for completeness and proper annotation, verifying document numbers (transactions) and submitting documents to auditors for review.
  • Support CPE efforts to assist Program Offices in managing PM owned and fielded property in an Accountable Property System of Record (APSR) and the Decision Support Tool (DST).
  • Coordinate with Program offices and other CPE representatives to collect data within cPROBE, FMSWeb, and DST and report on authorizations, requirements, projected quantities, fielded equipment, and other data as required to support Army enterprise data transparency.
  • Attend fielding synchronization meetings by coordinating and briefing information associated with CPE systems in support of Unit Set Fielding as required.
  • Assist with 50/50 depot maintenance data collection/consolidation/review, transportation budgetary process; and Program Objective Memorandum (POM) Program Reviews.

Education/Experience:
  • Bachelor's degree and a minimum two (2) years related work experience is required.
  • Create and maintain various Microsoft Office or similar documents, presentations, and spreadsheet.
  • Operate the Global Combat Support System-Army, a logistics system used to track supplies, organizational equipment and spare parts.
  • Secret security clearance is required.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.