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Ai Data Training Jobs in Virginia (NOW HIRING)

AMERICAN SYSTEMS

Data Advisor - SME

Quantico, VA · On-site

$180K - $200K/yr

... Training. Responsibilities Position Description: The AI/Data Advisor - Sr provides senior-level advisory support to Capability Development & Integration (CD&I) leadership on the integration ...

Jobtailor

Principal AI Engineer (Agentic AI)

Vienna, VA · On-site

$180 - $240/hr

Provide delivery and ongoing support for data science, advanced analytics, and augmented ... training and experience. * 7-10 years of experience in AI or similar. * Experience with modern ...

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Ai Data Training information

What is AI data training?

AI data training refers to the process of teaching artificial intelligence systems, such as machine learning models, to recognize patterns and make decisions by feeding them large amounts of labeled data. This involves collecting, annotating, and preprocessing data so that the AI can learn from examples and improve its performance over time. Data trainers play a crucial role in ensuring that the data used is accurate, diverse, and relevant to the AI's intended tasks. Effective AI data training helps models become more accurate, reliable, and capable of handling real-world scenarios.

What are the key skills and qualifications needed to thrive as an AI data trainer, and why are they important?

To thrive as an AI Data Trainer, you need a solid understanding of data annotation, machine learning fundamentals, and attention to detail, often backed by experience in data science or a related field. Familiarity with data labeling tools, annotation platforms, and version control systems is typically required. Strong analytical thinking, communication skills, and the ability to follow complex guidelines set top performers apart in this role. These skills ensure that high-quality, accurate datasets are produced to effectively train and improve AI models.

What are some common challenges faced in AI data training roles, and how can they be effectively managed?

Professionals in AI Data Training often encounter challenges such as ensuring data accuracy, managing large and potentially unstructured datasets, and maintaining consistency in labeling. These challenges can be managed through rigorous quality control checks, adopting clear annotation guidelines, and utilizing collaborative tools that streamline the review process. Being detail-oriented and communicating effectively with data scientists and engineers also helps in resolving ambiguities and improving overall data quality.

What is the difference between Ai Data Training vs Data Analyst?

AspectAi Data TrainingData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI development and machine learning projectsAcross various sectors analyzing data to inform decisions

Ai Data Training involves preparing and labeling data for AI models, focusing on machine learning algorithms. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Ai Data Training is more technical and model-focused, whereas Data Analysts focus on analysis and reporting.

What are popular job titles related to Ai Data Training jobs in Virginia?

For Ai Data Training jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Data Training jobs in Virginia look for?

The top searched job categories for Ai Data Training jobs in Virginia are:

What cities in Virginia are hiring for Ai Data Training jobs?

Cities in Virginia with the most Ai Data Training job openings:

Ai Data Training jobs near you
Infographic showing various Ai Data Training job openings in Virginia as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Remote job distribution.

Google Engineering Lead | AI & Data

Accenture Federal Services

Arlington, VA

Full-time

Re-posted 25 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 495 rated business services

Job description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!

You Are:

Accenture Federal Services (AFS) is seeking a Google Engineering Lead to join our AI & Data Practice. This high-visibility role is designed for a technical leader who excels at the intersection of pre-sales strategy, enterprise-scale architecture, and hands-on engineering execution. In this capacity, you will serve as the lead engineer for our GTM initiatives with Google, driving the technical vision for new federal pursuits. You will be responsible for both the high-level architectural strategy in client-facing environments and the hands-on leadership of engineering teams developing functional prototypes.

Key Responsibilities

  • Strategic GTM Enablement: Collaborate with practice and account leaders to identify emerging federal market requirements and translate them into robust, GCP-native solution offerings.
  • Solution Architecture & Design: Serve as the Lead Solution Engineer for new opportunities. You will be responsible for designing end-to-end, secure, and scalable architectures that integrate the breadth of Google's ecosystem – including but not limited to Google's Gemini models, Vertex AI Model Garden, BigQuery, and and Agent Builder.
  • Pre-Sales Technical Leadership: Lead technical discovery and solutioning for high-priority federal pursuits. Act as the primary Subject Matter Expert (SME) during client workshops to articulate the value and feasibility of Google Cloud technologies.
  • Rapid Prototyping Lead: Direct the end-to-end development of Proofs of Concept (PoCs) and prototypes. This includes defining the technical roadmap, selecting the appropriate GCP services, and serving as the lead engineer to ensure a successful "build" for pursuit-related milestones.

Professional Qualifications

  • Extensive Experience: A minimum of 10 years of experience in systems engineering, cloud architecture, or technical consultancy, with a minimum of 4 years of specialized expertise in Google Cloud Platform (GCP).
  • Enterprise Solution Architecture: Proven ability to design holistic, multi-service architectures that solve mission-critical federal challenges. You must be able to navigate trade-offs between cost, performance, and security while ensuring alignment with the client's long-term digital transformation goals.
  • Innovation-Led Pre-Sales Expertise: Proven success as a lead engineer in the end-to-end lifecycle of high-fidelity prototypes that drive market interest. This includes:
    • Translating complex federal mission challenges into functional, tangible GCP solutions.
    • Designing and executing "North Star" demonstrations that illustrate the future state of a client's environment.
    • Leading the "Proof of Value" phase by building functional software, data pipelines, or AI models that validate AFS's technical differentiators to senior federal stakeholders.
  • Engineering Proficiency: Advanced, hands-on experience in developing and deploying cloud-native applications and data pipelines. Deep technical expertise in Vertex AI, CCAI, GKE, and BigQuery is highly prioritized.
  • AI/ML Lifecycle Expertise: Proven experience designing, developing, and deploying production-grade AI/ML solutions and architectures including LLM-based applications, computer vision, Agentic AI, and RAG.
  • Federal Domain Knowledge: Comprehensive understanding of the federal IT landscape, including security requirements (FedRAMP/ATO processes), legacy application landscape, and procurement cycles.
  • Team Leadership: Experience guiding multi-disciplinary engineering teams through the rapid development of high-fidelity prototypes to support new opportunities.

Education and Certifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Required: Google Cloud Professional Cloud Architect.
  • Preferred: Additional certifications in Google Cloud Data Engineering, Security, or Machine Learning.

The Extras:

  • US Citizenship Required

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$172,400—$360,800 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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