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Data Labeling Jobs in Maryland (NOW HIRING)

Accenture

Data Protection, Manager

Baltimore, MD · On-site

$150K - $178K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). * Perform threat mapping ...

Syndicus, Inc.

Data Engineer

Columbia, MD · On-site

$170K/yr

Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics. * Familiarity with various log formats such as JSON, XML, and ...

Accenture

Data Protection Consultant

Baltimore, MD · On-site

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

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All JobsData Labeling JobsData Labeling Jobs in Maryland

Data Labeling information

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$10

$24

$57

How much do data labeling jobs pay per hour?

As of Sep 12, 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 is data labeling?

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 are the key skills and qualifications needed to thrive in data labeling, 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.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

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 September 2026, with employment types broken down into 74% Full Time, 9% Part Time, 13% Contract, and 4% Nights. Highlights an 100% In-person job distribution, with an average salary of $50,815 per year, or $24.4 per hour.

Data Center Technician

Baltimore, MD • On-site

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

Contractor

Re-posted 3 days ago

Job description

Title             : Data Center Technician

Location     : Baltimore MD 

Job description :

A Smart Hands Support technician, also referred to as a Data Center Smart Hands technician, provides on-site technical support for IT infrastructure within data centers or colocation facilities. Acting as the on-site representative for remote IT teams, this position performs tasks requiring physical presence and technical proficiency beyond basic remote support. The Smart Hands Network and Telecom Technician offers on-site support for network and telecommunications infrastructure, executing installation, maintenance, troubleshooting, and configuration duties for network and telecom equipment in data centers or client locations while maintaining operational standards, timely issue resolution, and accurate documentation.

Key responsibilities

  • Hardware Management: Installing, configuring, replacing, and decommissioning servers, switches, routers, and other equipment within data center racks.
  • Cabling and Connectivity: Managing, installing, and tracing network and power cables to ensure proper organization and connectivity.
  • Troubleshooting & Diagnostics: Investigating hardware, software, and network issues that require physical access.
  • Maintenance & Repairs: Conducting routine maintenance, hardware upgrades, and emergency repairs.
  • Remote Team Collaboration: Coordinating with remote engineering teams and stakeholders to implement configurations and resolve issues.
  • Documentation & Reporting: Documenting activities, maintaining service logs, and updating remote teams or project managers.
  • Inventory & Auditing: Assisting with asset management through physical audits, labeling, tracking, and monitoring inventory.
  • Emergency Response: Responding to emergencies and participating in on-call rotations as needed.
  • Safety & Compliance: Following safety protocols and adhering to operational procedures and change management policies.
  • Network Hardware Management: Includes racking, stacking, installing, configuring, replacing, and decommissioning network equipment such as switches, routers, firewalls, and servers.
  • Telecom Infrastructure Support: Supporting telephony hardware and applications (analog, ISDN, SIP, etc.), installing and relocating telecom assets, and performing equipment testing and troubleshooting.
  • Cabling and Connectivity: Managing, installing, and tracing network and power cables, ensuring organization, labeling, and testing of connectivity.
  • Troubleshooting and Diagnostics: Addressing physical connectivity issues, diagnosing hardware, software, and network problems, and conducting power cycles and signal testing.
  • Maintenance and Repairs: Performing routine maintenance, hardware upgrades, emergency repairs, assisting with system updates, and replacing faulty components.
  • Collaboration and Documentation: Working with remote teams and vendors, documenting work performed, maintaining service logs, and providing visual verification and inventory details.
  • Inventory and Logistics: Assisting with asset management, conducting audits and tagging, and handling shipping and receiving.
  • Emergency Response & Compliance: Responding to emergencies, participating in on-call schedules, and following safety protocols and policies.

Qualifications

Education: High school diploma or GED required; technical school training or relevant experience preferred; certifications such as CompTIA Network+ or CCNA are beneficial.

Experience: Minimum of 2 years in network/telecom support, field service, or data center operations preferred; experience with OEM network devices and fiber optic cabling is an asset.

Technical Skills: Knowledge of networking concepts (OSI Layers 2 & 3), protocols (TCP/IP), cabling, data center operations, and basic telecom systems; ability to interpret technical diagrams, use hand tools, and familiarity with remote access tools and ticketing systems.

Soft Skills: Proficient troubleshooting, problem-solving, communication (written and verbal), attention to detail, time management, organizational abilities, and capacity to work both independently and collaboratively; customer service skills required.

Physical Requirements: Able to lift up to 50 pounds, climb ladders, work in confined spaces, and perform physically demanding tasks.

Availability: Flexible to work various shifts, participate in on-call rotations, and travel reliably to client sites when required using own vehicle.