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Data Annotation Tech Remote Jobs in Washington (NOW HIRING)

A-TEK Inc.

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... This is a remote position requiring all work be performed in the continental United States. US ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247406 Location: Washington,DC,US Share job via: Share Data ... Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ...

Goldbelt, Inc.

Data Analyst

Washington, DC · Remote

Overview A leader in cutting-edge research and technology in the cyber arena, CPMG focuses on using ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

Cp Marine Llc

Data Analyst

Washington, DC · Remote

Overview A leader in cutting-edge research and technology in the cyber arena, CPMG focuses on using ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

ManTech

Data Analyst

Arlington, VA · Remote

$104K - $172K/yr

This is a remote position with a preference for candidates located in the National Capital Region ... Familiarity with Databricks or similar cloud-based distributed database technologies * Strong SQL ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0249294 Location: McLean,VA,US Share job via: Share Data Engineer The Opportunity: Do you want to work at the forefront of advanced technology and solve complex data ...

A-TEK Inc.

Health IT Data Analyst I

Alexandria, VA · Remote

$70K - $75K/yr

The Health IT Data Analyst will develop reports, dashboards, and analytical products that enable ... This is a remote position requiring all work be performed in the continental United States. US ...

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Data Annotation Tech Remote information

What is a data annotation tech remote?

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 the key skills and qualifications needed to thrive as a data annotation tech remote?

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 some common challenges faced by remote data annotation techs, 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 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.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

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

The most popular types of Data Annotation Tech jobs in Washington are:

What are popular job titles related to Data Annotation Tech Remote jobs in Washington?

For Data Annotation Tech Remote jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech Remote jobs in Washington look for?

The top searched job categories for Data Annotation Tech Remote jobs in Washington are:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Health IT Data Engineer

Alexandria, VA • Remote

A-TEK Inc.
See more jobs at A-TEK Inc.external

$125K - $135K/yr

Full-time

Re-posted 14 days ago

Key responsibilities

  • Design, build, and optimize enterprise data pipelines and ETL processes.

  • Work closely with analysts, data scientists, and application teams to deliver scalable, secure, and high-quality data solutions.

  • Support data validation, troubleshoot integration issues, and optimize database and reporting performance.

Job description

Empower, Innovate, Impact!  At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission!

A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape.

Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees.

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate will work closely with analysts, data scientists, and application teams to deliver scalable, secure, and high-quality data solutions. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position.

Essential Responsibilities

  • Design and develop enterprise data pipelines and ETL processes.
  • Develop logical and physical data models.
  • Integrate data from multiple enterprise systems.
  • Implement data validation and quality control procedures.
  • Optimize database and reporting performance.
  • Support Power BI, Tableau, and enterprise reporting platforms.
  • Develop automation processes supporting data ingestion and transformation.
  • Ensure compliance with Government security and privacy requirements.
  • Troubleshoot data integration issues and performance bottlenecks.
  • Support cloud-based analytics environments and data modernization initiatives.
  • Prepare technical documentation and data architecture diagrams.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
  • Minimum seven (7) years of data engineering experience.
  • Strong SQL development skills.
  • Experience designing ETL pipelines.
  • Experience with relational databases and data warehousing.
  • Experience supporting enterprise reporting platforms.
  • Ability to obtain DHS Public Trust suitability.

Preferred Qualifications

  • Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience.
  • Power BI and Tableau development experience.
  • Healthcare data integration experience.
  • Knowledge of HL7 or FHIR standards.

Compensation

Expected Salary Range: $125,000–$135,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process.

For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call.

Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one.

A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.