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Data Annotation Tech Remote Jobs in Baltimore, MD

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional ... Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ...

Maintain alignment with security frameworks, compliance data, and IT operations standards ... s Platform delivers endpoint management, autonomous patching, backup, and remote access in a single ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

Influence architectural decisions and emerging-technology adoption. * Partners across EDMA, AI ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

Prepares and manipulates data using multiple technologies. * Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that ...

Guided by our vision, we are leveraging the power of our leading edge technology and focusing on ... True work-life integration - 100% remote from anywhere in the U.S. with only occasional travel when ...

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Data Annotation Tech Remote information

See Baltimore, MD salary details

$12

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How much do data annotation tech remote jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data annotation tech remote in Baltimore, MD is $22.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $26.97 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are popular job titles related to Data Annotation Tech Remote jobs in Baltimore, MD? For Data Annotation Tech Remote jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Baltimore, MD look for? The top searched job categories for Data Annotation Tech Remote jobs in Baltimore, MD are:
Data Engineer

Data Engineer

Booz Allen Hamilton, Inc.

Aberdeen, MD • On-site, Remote

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Yes
Job Number:
R0241931
Location:
Belcamp,MD,US
Share job via:
Share
Additional Locations:
  • Aberdeen Proving Ground, Maryland, USA

Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • 5+ years of experience in application development, and designing, developing, operationalizing and maintaining complex data applications at enterprise scale
  • 3+ years of experience creating software for retrieving, parsing and processing structured and unstructured data, and building scalable ETL/ELT workflows for reporting and analytics
  • Experience with PySpark and Spark SQL
  • Experience in creating, maintaining Object Types, Link Types, and Action Types in Foundry Ontology, and with Foundry Workshop and how to debug issues
  • Experience creating solutions within a collaborative, cross-functional team environment
  • Ability to build and modify data transformations in Palantir Foundry Data Pipeline Builder and Code Repositories
  • Ability to read logs, diagnose errors, and troubleshoot issues in Palantir Foundry
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
  • Bachelor's degree
  • Secret clearance

Nice If You Have:
  • Experience with Python, SQL, Scala, or Java
  • Experience with UNIX/Linux, including basic commands and Shell scripting
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
  • Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience working on real-time data and streaming applications
  • Experience with NoSQL implementation, including MongoDB or Cassandra
  • Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
  • Experience with Agile engineering practices

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $77,600.00 to $176,000.00 (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

Sourced by ZipRecruiter

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