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Senior Ai Data Trainer Jobs in Reston, VA (NOW HIRING)

Leidos

Senior AI Engineer

Rockville, MD · On-site

$131K - $237K/yr

Through training, teamwork, and exposure to challenging technical work, let Leidos show how to ... This program is at the forefront of deploying enterprise-scale AI, data, and mission platform ...

YO AI Labs

AI Data Science Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

VantageScore

Senior AI Engineer

Washington, DC · On-site

$118K - $162K/yr

Senior AI Engineer Hybrid - Washington D.C. (preferred) or New York, NY About The Role We are ... Conduct advanced research on structured and unstructured data, developing insights to support ...

VantageScore

Senior AI Engineer

Washington, DC · On-site

$118K - $162K/yr

Senior AI Engineer Hybrid - Washington D.C. (preferred) or New York, NY About The Role We are ... Conduct advanced research on structured and unstructured data, developing insights to support ...

VantageScore

Senior AI Engineer

Washington, DC · On-site

$118K - $162K/yr

Senior AI Engineer Hybrid - Washington D.C. (preferred) or New York, NY About The Role We are ... Conduct advanced research on structured and unstructured data, developing insights to support ...

B&A

Senior AI Systems Architect

Ashburn, VA

Design interoperable data frameworks leveraging NIEM, WCO, JSON/REST APIs, and other federal ... Job shadowing and cross training opportunities * Brand Ambassador program * Employee Assistance ...

Credence

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and ... Training & Development * Wellness Resources

Credence

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and ... Training & Development * Wellness Resources

Credence

Data Engineer

Mclean, VA · On-site

$125 - $150/hr

Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and ... Training & Development * Wellness Resources #J-18808-Ljbffr

Credence

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and ... Training & Development * Wellness Resources

Koitecc Solutions

Senior AI Engineer

Alexandria, VA · On-site

$150 - $200/hr

Through training, teamwork, and exposure to challenging technical work, let Leidos show how to ... This program is at the forefront of deploying enterprise-scale AI, data, and mission platform ...

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All JobsAi Data Trainer JobsSenior Ai Data Trainer JobsSenior Ai Data Trainer Jobs in Reston, VA

Senior Ai Data Trainer information

See Reston, VA salary details

$25.5K

$80.5K

$142K

How much do senior ai data trainer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior ai data trainer in Reston, VA is $80,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $104,000.00 per year, depending on experience, location, and employer.

What is a senior AI data trainer?

Senior AI Data Trainers are professionals who oversee the creation, curation, and labeling of data used to train artificial intelligence models. They ensure that data is accurately annotated and aligned with the requirements of the machine learning project, often supervising and mentoring junior data trainers. Their responsibilities also include developing guidelines, maintaining data quality standards, and collaborating with data scientists and engineers to improve AI model performance. Senior AI Data Trainers play a critical role in the success of AI initiatives by ensuring high-quality, well-labeled datasets.

What are the key skills and qualifications needed to thrive as a senior AI data trainer?

To thrive as a Senior AI Data Trainer, you need a strong background in data annotation, machine learning concepts, and quality assurance, typically supported by a relevant degree and prior experience in AI training projects. Familiarity with annotation tools, data labeling platforms, and version control systems is commonly required, along with knowledge of Python or similar scripting languages. Excellent attention to detail, communication, and problem-solving skills help ensure accurate data labeling and effective collaboration with cross-functional teams. These skills are crucial for building high-quality datasets that directly impact the performance and reliability of AI models.

What are some common challenges faced by senior AI data trainers when ensuring data quality for machine learning models?

Senior AI Data Trainers often encounter challenges such as managing large and diverse datasets, maintaining labeling consistency, and identifying subtle biases that could affect model performance. They must also coordinate with data engineers and machine learning teams to validate data accuracy and relevance. Addressing these challenges requires strong attention to detail, effective communication skills, and the ability to implement quality assurance processes throughout the data annotation lifecycle.

What is the difference between Senior Ai Data Trainer vs Data Analyst?

AspectSenior Ai Data TrainerData Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; experience with AI modelsBachelor's or higher in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, healthcare, or tech sectors; data-driven departments
Employer & Industry UsageAI-focused companies, tech startups, research institutionsVarious industries including finance, marketing, healthcare

While both roles involve working with data, a Senior Ai Data Trainer specializes in preparing and refining datasets for AI models, often requiring knowledge of machine learning and AI frameworks. In contrast, a Data Analyst focuses on interpreting data to generate insights for business decisions. The roles overlap in data handling but differ in technical focus and application.

What are popular job titles related to Senior Ai Data Trainer jobs in Reston, VA?

For Senior Ai Data Trainer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Senior Ai Data Trainer jobs in Reston, VA look for?

The top searched job categories for Senior Ai Data Trainer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Senior Ai Data Trainer jobs?

Cities near Reston, VA with the most Senior Ai Data Trainer job openings:

Senior Ai Data Trainer jobs near you
Infographic showing various Senior Ai Data Trainer job openings in Reston, VA as of June 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $80,471 per year, or $38.7 per hour.

Senior AI Engineer

Leidos

Rockville, MD • On-site

$131K - $237K/yr

Full-time

Re-posted 14 days ago

Key responsibilities

  • Support the development and operationalization of AI and agentic AI systems in production mission environments.

  • Collaborate with multidisciplinary teams to solve complex challenges and deliver innovative, production-ready algorithms and platforms.

  • Apply techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

81st of 500 rated business services

Job description

Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.
Join Leidos' all-star team supporting the Defense Intelligence Agency's Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level.
As a Senior AI Engineer, you will:
  • Support the development and operationalization of AI and agentic AI systems in production mission environments.
  • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
  • Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
  • Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.
  • Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).

What You Bring:
  • Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree.
  • 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master's).
  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
  • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
  • Track record of creative problem solving, active learning, and mission-focused outcomes.
  • Experience with the following:
    • AI/ML production engineering
    • LLMOps / MLOps
    • RAG architectures
    • AI orchestration frameworks
    • Kubernetes-based AI deployments
    • OpenAI-compatible APIs
    • Python development
    • GPU inference optimization

Preferred Qualifications:
  • Experience supporting military or intelligence community customers.
  • Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
  • Familiarity with the following technologies
    • LangGraph
    • Semantic Kernel
    • vLLM
    • Ollama
    • Ray
    • NVIDIA GPU ecosystems
    • Vector databases

#ASBA
#NMEC-Leidos
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
June 25, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $131,300.00 - $237,350.00
The Leidos pay range for this job level 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 job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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