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Remote Ai Data Collection Jobs in Baltimore, MD (NOW HIRING)

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Data Analysis Tutor

Bowie, MD · Remote

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Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

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Remote Ai Data Collection information

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$16

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$31

How much do remote ai data collection jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote ai data collection in Baltimore, MD is $25.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.17 and $25.82 per hour, depending on experience, location, and employer.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What remote jobs can I do with AI?

Remote AI data collection jobs involve gathering and labeling data to train machine learning models, often requiring skills in data annotation, understanding of AI tools, and attention to detail. These roles can include image, text, or audio data labeling and are typically performed using specialized platforms or software, offering flexible schedules for qualified candidates.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

How to be a Remote AI Data Collection?

To work as a remote AI data collector, you should have strong attention to detail, good communication skills, and familiarity with data annotation tools or platforms. Many roles require basic computer skills and the ability to follow specific instructions, often with flexible schedules. Gaining experience in data labeling or annotation can improve your chances of securing such positions.
What are the most commonly searched types of Ai Data Collection jobs in Baltimore, MD? The most popular types of Ai Data Collection jobs in Baltimore, MD are:
What are popular job titles related to Remote Ai Data Collection jobs in Baltimore, MD? For Remote Ai Data Collection jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in Baltimore, MD look for? The top searched job categories for Remote Ai Data Collection jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Ai Data Collection jobs? Cities near Baltimore, MD with the most Remote Ai Data Collection job openings:
Remote Ai Data Collection jobs near you

AI Data Scientist

Booz Allen Hamilton, Inc.

Fort George G Meade, MD • On-site, Remote

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 10 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description


Remote Work:
No
Job Number:
R0245653
Location:
Fort Meade,MD,US
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AI Data Scientist
The Opportunity:
Support strategic operational design and capability development and apply critical and creative thinking to define the nature of complex national security problems. Analyze the client's mission and intent, organizational relationships, and purpose of proposed operations to develop strategic knowledge of the operational environment and frame mission analysis. Conceptualize and construct frameworks to explain the operational environment through visual effects and tools to better inform assigned Mission Areas. Design and shape knowledge of assigned environments to develop applicable approaches to exercises and wargaming, crises and contingencies, offensive, defensive, and combat operations. Conduct capability assessments on newer technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to include risks, vulnerabilities, and adversarial parameters.
Join us. The world can't wait.
You Have:
  • 5+ years of experience with Data Analysis and Data Science, including integrating data feeds to display information
  • Experience with AI, ML, and data management and visualization tools with a graphical user interface, such as Python, Tableau, or Power BI
  • Experience in DoD Information Technology (IT), Department of Defense Information Network (DoDIN), or cyberspace tactical environment
  • Experience working with industry engagements, academia, and technical universities
  • Experience with demonstrations, practical use applications, and drafting executive summaries with recommendations
  • TS/SCI clearance
  • Bachelor's degree in an Applied Science field

Nice If You Have:
  • Experience with preparing project charters and leading and organizing working groups to address data analytics
  • Experience with analyzing operational assessment methodologies and decision criteria, and preparing and presenting briefings to senior leadership
  • Experience working with the Defense Industrial Base (DIB)
  • Knowledge of operations in mission areas, including network operations, network defense, signals intelligence, information operations, space, or electronic warfare
  • Ability to create and maintain KM solutions and use Power BI tools to create dashboards and visual displays
  • Ability to communicate and visualize complex data in an actionable and effective way for a given project or study
  • Ability to work independently and with team members from different backgrounds
  • Master's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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