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

M9 Solutions

Federal AI Engineer

Fort Belvoir, VA · On-site

$138K - $153K/yr

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

DataAnnotation

M&A Associate - AI Trainer

Washington, DC · Remote

$50 - $100/hr

About the job: DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an

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Data Annotation Ai Trainer information

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$37

How much do data annotation ai trainer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data annotation ai trainer in Reston, VA is $25.74, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $27.50 per hour, depending on experience, location, and employer.

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

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

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

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Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $53,530 per year, or $25.7 per hour.

Lead Specialist, Federal Artificial Intelligence (AI) Engineering

Ashburn, VA • On-site

KPMG US
See more jobs at KPMG USexternal

Full-time

Re-posted 25 days ago

Job description

Job Summary:
KPMG is a leading advisory firm that offers excellent opportunities for career advancement and professional development. They are seeking a Lead Specialist to join their Federal Advisory practice, responsible for leading AI engagements, managing complex projects, and collaborating with clients to deliver innovative analytical solutions.
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 clients to discover data sources and create date 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
• Ability to travel as required to support firm engagements
Qualifications:
Required:
• A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience; U.S. Federal government consulting experience preferred
• 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 performing data science from data discovery, cleaning, model selection, validation, to 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 / Cassandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, 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 firm engagements
• Applicant must possess or be eligible for U.S. Government clearance
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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