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Contract Data Annotation Jobs in Springfield, VA

M9 Solutions

Jr. Federal AI Engineer

Fort Belvoir, VA · On-site

$100K - $115K/yr

... contract for a client located in Ft. Belvoir, VA . An active Secret clearance is required ... data and annotation processes to enrich unstructured data leveraging a variety of data sources ...

Dewberry

BIM Manager (Bentley)

Fairfax, VA · On-site +1

As a Transportation Model Manager, you will proactively manage model health and common data ... Support digital delivery requirements by preparing precise, contract-compliant deliverables for ...

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Contract Data Annotation information

What is a contract data annotation?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

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

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

Is data annotation still hiring?

Data annotation roles are currently in demand as companies continue to develop AI and machine learning models. Many positions are available for remote work, often requiring basic computer skills and attention to detail, with some roles offering flexible schedules. Job availability can vary by industry and region, so checking specific job boards is recommended.

Is it hard to get hired for contract data annotation?

Contract data annotation jobs are generally accessible to individuals with basic computer skills and attention to detail. The hiring process often involves completing a skills test or sample annotation task, and some roles may require familiarity with specific tools or platforms. Competition can vary depending on the demand and the company's requirements, but many positions are available for entry-level candidates.

What are the most commonly searched types of Data Annotation jobs in Springfield, VA?

The most popular types of Data Annotation jobs in Springfield, VA are:

What job categories do people searching Contract Data Annotation jobs in Springfield, VA look for?

The top searched job categories for Contract Data Annotation jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Contract Data Annotation jobs?

Cities near Springfield, VA with the most Contract Data Annotation job openings:

Contract Data Annotation jobs near you

Jr. Federal AI Engineer

Fort Belvoir, VA • On-site

M9 Solutions
IT Services • 51 - 200 employees
Learn more about M9 Solutionsexternal

$100K - $115K/yr

Other

Posted 9 days ago

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 Jr. 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
  • Support the planning and execution of data/AI engagements, including defining objectives, developing key deliverables, identifying potential risks in data, modeling, validation, and delivery activities.
  • Participate in workshops and innovation sessions with client, multi-disciplinary, and cross-functional teams to help identify business opportunities, define problem statements, and design high-level analytical solutions.
  • Work with senior team members and client to discover data sources and develop data requests; support data discovery and ETL/ELT processes to ingest structured data and 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).
  • Support the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, and delivery.
  • Work effectively in a fast-paced/dynamic environment utilizing virtual and face-to-face interactions; support project work streams, deliverables, timelines, and client expectations.
  • Assist with defining, monitoring, and reporting key business metrics to management; support the design, implementation, and management of reporting processes/dashboards.
  • Collaborate with Senior Associates and other team members on technical delivery, analysis, documentation, testing, and client deliverables.

Required Skills and Qualifications
  • Active Secret security clearance.
  • One to three 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.
  • Understanding of data preparation approaches and machine learning algorithms.
  • Knowledge/experience performing data science activities including data discovery, cleaning, model selection, validation, and deployment.
  • Experience coding artificial intelligence methods using object-oriented programming in software development processes, including the 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 / Cassandra, 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 engagements.

GH 1032
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
$100,000 - $115,000 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.
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