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Data Annotation Part Time Jobs in Maryland (NOW HIRING)

Overview Black Canyon Consulting (BCC) is actively looking for a part-time Subject Matter Expert ... Department of Health and Human Services (DHHS) agencies to develop data science solutions to ...

Overview Black Canyon Consulting (BCC) is actively looking for a part-time Subject Matter Expert ... Department of Health and Human Services (DHHS) agencies to develop data science solutions to ...

Overview Black Canyon Consulting (BCC) is actively looking for a part-time Subject Matter Expert ... Department of Health and Human Services (DHHS) agencies to develop data science solutions to ...

Overview Black Canyon Consulting (BCC) is actively looking for a part-time Subject Matter Expert ... Department of Health and Human Services (DHHS) agencies to develop data science solutions to ...

Data Annotation Part Time information

What is a data annotation part time job?

Data annotation part time jobs involve labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. This work can include identifying objects in photos, transcribing audio, or categorizing content. Part time positions offer flexible hours and may be remote, making them a popular choice for students or those looking to supplement their income. Attention to detail and the ability to follow guidelines are important skills for these roles.

What are the key skills and qualifications needed to thrive as a data annotation part time worker?

To thrive as a Data Annotation Part Time worker, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic spreadsheet software is typically required. Reliability, focus, and the ability to follow guidelines precisely are valuable soft skills in this role. These skills ensure high-quality, consistent data labeling, which is crucial for training effective AI and machine learning models.

What are some common challenges faced by part-time data annotation professionals, and how can they be managed?

Part-time data annotation professionals often encounter challenges such as repetitive tasks, maintaining concentration over extended periods, and understanding nuanced annotation guidelines. To manage these challenges, it's helpful to take regular short breaks, stay organized with clear labeling conventions, and communicate proactively with team leads or project managers when questions arise. Many teams also provide regular training updates and feedback sessions, which support continuous improvement and help annotators stay aligned with project requirements.

What is the difference between Data Annotation Part Time vs Data Labeling Specialist?

AspectData Annotation Part TimeData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; attention to detail
Work EnvironmentRemote or office-based; flexible hoursRemote or office; often project-based
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusAnnotating data for training AI modelsLabeling data to improve model accuracy

Data Annotation Part Time and Data Labeling Specialist roles are similar, focusing on preparing data for AI training. The main difference lies in terminology; 'Data Annotation' emphasizes the process, while 'Data Labeling' refers to the task. Both roles typically require similar skills and work environments, making them interchangeable in many contexts.

Does data annotation actually pay?

Data annotation jobs typically pay hourly or per task rates, with wages varying depending on the platform, complexity of the work, and experience. Many part-time data annotation roles offer minimum wage or slightly above, and some platforms provide flexible schedules for remote work. Payment is generally reliable if the work is completed accurately and on time.

What are the most commonly searched types of Data Annotation jobs in Maryland?

The most popular types of Data Annotation jobs in Maryland are:

What are popular job titles related to Data Annotation Part Time jobs in Maryland?

For Data Annotation Part Time jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Data Annotation Part Time jobs in Maryland look for?

The top searched job categories for Data Annotation Part Time jobs in Maryland are:

What cities in Maryland are hiring for Data Annotation Part Time jobs?

Cities in Maryland with the most Data Annotation Part Time job openings:

Infographic showing various Data Annotation Part Time job openings in Maryland as of August 2026, with employment types broken down into 100% Part Time. Highlights an 52% In-person, and 48% Remote job distribution.

Foreign Language Annotator

Annapolis Junction, MD • On-site


AeroVironment
Manufacturing • 1 - 5K employees

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

7th of 72 rated aerospace companies

Good employer

Paid breaks

Respectful managers


$70/hr

Full-time, Part-time

Medical, Dental, Vision, Retirement

Posted 23 days ago


Job description

Worker Type

Regular


Job Description

Summary

We are seeking detail-oriented Foreign Language Annotators to support the research, development, and evaluation of advanced analytic technologies. In this role, you will annotate and analyze English and foreign language data across text, video, image, and speech formats. You will work closely with data teams to prepare, curate, and maintain high-quality datasets according to strict annotation guidelines, directly enabling the advancement of next-generation analytical tools.

We are seeking proficiency in English as well as one or more of the following target languages: Arabic and Urdu. This is a part time position.

Key Responsibilities

  • Annotate and analyze video, image, speech, and text data in English and target foreign languages.

  • Identify, prepare, and curate relevant datasets for machine learning and technological evaluation.

  • Consistently apply technical annotation guidelines to ensure data integrity and high production standards.

  • Conduct transcription, translation, and linguistic analysis across various media types.

  • Maintain rigorous quality control across annotated datasets to meet production benchmarks.

  • Collaborate with technical teams and research analysts to refine data annotation processes.

Basic Qualifications

  • Strong written and verbal fluency in English, alongside proficiency in one or more required languages (Arabic and Urdu).

  • Exceptional analytical skills, high attention to detail, and strong organizational abilities.

  • Proven ability to work both independently and collaboratively within a fast-paced environment.

  • An active TS/SCI with Polygraph

Preferred (Nice to Have) Qualifications

  • Background in linguistic analysis, foreign language translation, speech transcription, or data annotation.

  • Familiarity with annotation tools and data analysis methodologies in a defense, intelligence, or technology research setting.

Hourly Rate: $70/hour

The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify U.S. person status under the ITAR and the EAR. A "U.S. person" according to their definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee, or asylee. See 22 CFR 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply. NO agencies please.

Who We Are

Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC.

Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed.

What We Do

Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition.

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data,sexual orientation, gender identity or other legally protected status.

ITAR



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