ZipRecruiter

Log In

1

Data Annotation Engineer Jobs in Washington, DC (NOW HIRING)

M9 Solutions

Federal AI Engineer

Fort Belvoir, VA · On-site

$138K - $153K/yr

M9 Solutions is seeking a Federal AI Engineer to work hybrid remote/onsite in support of a ... data discovery, ETL/ELT processes to ingest structured data/annotation processes to enrich ...

New

Axle

Data Scientist II

Rockville, MD

With experts in biomedical science, software engineering, and program management, we focus on ... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ...

previous page

Showing results 41-60

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Washington, DC

Data Annotation Engineer information

See Washington, DC salary details

$58.3K

$167K

$223.1K

How much do data annotation engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data annotation engineer in Washington, DC is $167,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $222,000.00 per year, depending on experience, location, and employer.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are the key skills and qualifications needed to thrive as a data annotation engineer?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

What are popular job titles related to Data Annotation Engineer jobs in Washington, DC?

For Data Annotation Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Washington, DC look for?

The top searched job categories for Data Annotation Engineer jobs in Washington, DC are:

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $167,014 per year, or $80.3 per hour.

Federal AI Engineer

M9 Solutions

Fort Belvoir, VA • On-site

$138K - $153K/yr

Other

Posted 2 days ago

New

Job description

M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting.
M9 Solutions is seeking a Federal AI Engineer to work hybrid remote/onsite in support of a government contract for a client located in Ft. Belvoir, VA. An active Secret clearance is required.
Responsibilities
  • Plan, lead, and execute delivery of data / AI engagements (including definition of objectives, key deliverables, mitigating risk in data, modeling, validation, delivery).
  • Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high-level analytical solutions.
  • Work with client to discover data sources and create data requests; lead data discovery, ETL/ELT processes to ingest structured data/annotation processes to enrich unstructured data, leveraging a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data).
  • Oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, to delivery.
  • Lead in a fast-paced/dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, and deliverables.
  • Define, monitor, and report key business metrics to management; design, implement, and manage various reporting processes/dashboards.

Required Skills and Qualifications
  • Active Secret security clearance.
  • A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience.
  • Bachelor's degree from an accredited college/university.
  • Experience utilizing analytics/software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval.
  • Deep technical understanding of data preparation approaches and machine learning algorithms.
  • Knowledge/experience in data science, from data discovery and cleaning to model selection, validation, and deployment.
  • Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency).
  • Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Casandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, Google Cloud Platform, and their D&A-related microservices).
  • Experience with Web/RESTful service development, HTML5, JavaScript / Angular / React / Redux.
  • Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments; ability to write production-level code.
  • Ability to travel as required to support client engagements.

GH 1031
Full-Time Employee Compensation
  • M9 Solutions' pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the position, education, experience, knowledge, skills, abilities, as well as internal equity, location, alignment with market data, applicable bargaining agreement (if any), or other law.
  • M9 Benefits -

Salary Range
$138,000 - $153,000 USD
M9 Solutions, LLC (M9) is a Federal subcontractor and complies with all applicable federal laws prohibiting discrimination in employment, including Title VII of the Civil Rights Act of 1964 and the Americans with Disabilities Act (ADA). M9 also adheres to the affirmative action requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA), ensuring equal opportunity for protected veterans. If you wish to voluntarily share that you are an individual with a disability, you are welcome to do so at any point in the application or employment process; M9 does not require this information, and it will not affect your candidacy. If you need accommodation during the application process or encounter difficulties using our website, please contact our Human Resources Department at or .
M9 Solutions is a proud participant in the Virginia Values Veterans (V3) program and supports the Military Medics and Corpsmen (MMAC) initiative, demonstrating our commitment to hiring and supporting veterans, transitioning service members, military spouses, and dependents.
With 15+ years of proven delivery and growth, M9 Solutions is a unique small business with credible past performance and key capabilities offering project management services, solution architects, business analysts, program managers, technical architects, and technical consultants. M9 was recognized as an Inc. 5000 Fastest-Growing Private Companies in 2021, 2020, 2019, 2018, 2017, 2016, and 2012. M9 Solutions believes that work should be fun, rewarding, and something everyone can be excited about. We offer a competitive compensation package and value diverse perspectives in driving the vision of the company.
Create a Job Alert
Interested in building your career at M9 Solutions? Get future opportunities sent straight to your email.
Create alert

Apply