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Ai Data Annotation Jobs in Virginia (NOW HIRING)

The right candidate will work on the design, development, and deployment of AI/ML capabilities for ... Coordinate data collection and annotation efforts for supervised training efforts * Design and ...

The right candidate will work on the design, development, and deployment of AI/ML capabilities for ... Coordinate data collection and annotation efforts for supervised training efforts * Design and ...

The right candidate will work on the design, development, and deployment of AI/ML capabilities for ... Coordinate data collection and annotation efforts for supervised training efforts * Design and ...

... Data QA team to define annotation standards, resolve taxonomy issues, and identify data-quality improvements based on model failure modes. • Independently prototype, evaluate, and deploy AI ...

... Data QA team to define annotation standards, resolve taxonomy issues, and identify data-quality improvements based on model failure modes. • Independently prototype, evaluate, and deploy AI ...

Staff AI Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the ... Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ...

Staff AI Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the ... Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ...

Showing results 41-60

Ai Data Annotation information

What are the key skills and qualifications needed to thrive in AI data annotation?

To excel in AI Data Annotation, you need strong attention to detail, data accuracy, and a basic understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, Supervisely, or similar platforms is often required, and some employers may value basic programming or machine learning course certifications. Excellent communication, the ability to follow detailed guidelines, and time management are valuable soft skills in this role. These skills ensure the production of high-quality annotated datasets, which are critical for training reliable AI and machine learning models.

What does an AI data annotation do?

As an AI Data Annotator, your typical day involves labeling and tagging data such as images, audio, or text according to specific project guidelines, often using specialized annotation software. You may work independently or as part of a remote or on-site team, collaborating with data scientists and quality assurance specialists to ensure consistency and accuracy. Regular feedback sessions and quality checks are common to maintain high annotation standards. The role can be repetitive, but attention to detail and clear communication with team members help create datasets that are crucial for training effective AI systems.

What is an AI data annotation?

An AI Data Annotation job involves labeling or tagging data, such as text, images, audio, or video, to train machine learning models. Annotators ensure that data is accurately categorized so AI systems can learn to recognize patterns and make predictions. This work is crucial for improving AI applications like self-driving cars, chatbots, and image recognition software. It often requires attention to detail and familiarity with specific annotation tools.

How much do AI data annotators make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are freelance or part-time, requiring attention to detail and familiarity with annotation tools like Labelbox or CVAT.

How to become an AI data annotation?

To become an AI data annotation specialist, you should have strong attention to detail, basic computer skills, and familiarity with annotation tools such as LabelImg or CVAT. Many roles require a high school diploma or equivalent, and some employers prefer candidates with experience in data labeling or related fields. Training is often provided on the job, and the work can be remote or in-office with flexible schedules.
What are the most commonly searched types of Ai Data Annotation jobs in Virginia? The most popular types of Ai Data Annotation jobs in Virginia are:
What job categories do people searching Ai Data Annotation jobs in Virginia look for? The top searched job categories for Ai Data Annotation jobs in Virginia are:
Infographic showing various Ai Data Annotation job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Lead Specialist, Federal Artificial Intelligence (AI) Engineering

KPMG

Ashburn, VA • On-site

$104K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice.
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:
  • 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 preforming 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 / Casandra, 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

KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101ADV_3_26 California Salary Range: $127490 - $262200
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.