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Annotation Jobs in Virginia (NOW HIRING)

My3Tech Inc

Sr Java Developer

Richmond, VA

$56.75 - $72.25/hr

Expertise in Core Java concepts, such as OOP Design, Multi-Threading, Generics, Exception Handling, Collections, Java Reflection, Annotation is required. Extensive practical experience in building ...

BAE Systems

INTEL ANALYST

Fort Belvoir, VA · On-site

Experience with Machine Learning training data creation, annotation, and review as well as Structured Observation Management * Order of battle knowledge including air, sea, and ground equipment and ...

BAE Systems

INTEL ANALYST

Fort Belvoir, VA

Experience with Machine Learning training data creation, annotation, and review as well as Structured Observation Management * Order of battle knowledge including air, sea, and ground equipment and ...

My3Tech Inc

Sr Java Developer

Richmond, VA

$56.75 - $72.25/hr

Expertise in Core Java concepts, such as OOP Design, Multi-Threading, Generics, Exception Handling, Collections, Java Reflection, Annotation is required. Extensive practical experience in building ...

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All JobsAnnotation JobsAnnotation Jobs in Virginia

Annotation information

See Virginia salary details

$44.6K

$57.9K

$96.7K

How much do annotation jobs pay per year?

As of Sep 10, 2026, the average yearly pay for annotation in Virginia is $57,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $57,500.00 per year, depending on experience, location, and employer.

What is an annotation?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

What are the typical projects or tasks an annotation specialist works on?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

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

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

What are annotation jobs?

Annotation jobs involve labeling or tagging data, such as images, text, or audio, to help train machine learning models. These roles often require attention to detail and familiarity with annotation tools or software, and they are commonly performed remotely or in a digital environment.

What skills are needed for annotation?

Annotation jobs require strong attention to detail, good reading comprehension, and the ability to follow specific guidelines. Familiarity with data labeling tools and basic computer skills are also important. Accuracy and consistency are essential for producing high-quality annotated data.

What are the most commonly searched types of Annotation jobs in Virginia?

The most popular types of Annotation jobs in Virginia are:

What are popular job titles related to Annotation jobs in Virginia?

For Annotation jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Annotation jobs in Virginia look for?

The top searched job categories for Annotation jobs in Virginia are:

What cities in Virginia are hiring for Annotation jobs?

Cities in Virginia with the most Annotation job openings:

Annotation jobs near you
Infographic showing various Annotation job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 46% Full Time, 50% Part Time, and 3% Contract. Highlights an 47% Physical, 1% Hybrid, and 52% Remote job distribution, with an average salary of $57,914 per year, or $27.8 per hour.

Software Engineer, II - Autonomy Data

Blacksburg, VA • On-site, Remote

Torc Robotics
Trucking • 501 - 1,000 employees
Learn more about Torc Roboticsexternal

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Key responsibilities

  • Build and maintain end-to-end data pipelines that ingest high-bandwidth sensor logs from vehicles into cloud storage.

  • Design, organize, and optimize the program's data lake, including schema definitions, partitioning, and metadata indexing.

  • Develop tooling and automation for dataset curation, labeling, and quality assessment to support model training and evaluation.

Job description

About The Company:
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
Torc is hiring an Autonomy Data Engineer Level 2 to help design, build and operate the data infrastructure that powers our autonomy program. You will build the pipelines, storage systems, and tooling that turn raw vehicle sensor logs into the curated, structured datasets that our perception, planning and simulation engineers depend on.
This is a high-ownership role on a lean team. Moving large scale sensor data reliably from vehicles operating in demanding environments and making it quickly available for model training is a difficult and high-impact problem to solve.
What You'll Do:
  • Data Lake and Ingestion Pipeline
    • Contribute to the design and organization of the program's data lake, including schema definitions, partitioning strategy and metadata indexing.
    • Build and maintain end-to-end pipelines that ingest high-bandwidth sensor logs from vehicles into cloud storage with high reliability and tolerant of ad-hoc and intermittent connectivity mechanisms.
    • Implement data validation and integrity checks that can detect corrupted information, missing sensors, and inconsistent calibration prior to the data being processed by downstream systems.
    • Implement retention, tiering and lifecycle policies for data to balance storage costs with development value.
  • Dataset Curation and Labeling Infrastructure
    • Build tooling to query raw logs to produce curated training and evaluation datasets.
    • Build automation to run cost-effective pseudo-labeling workflows at the scale of data ingest.
    • Implement data quality and model performance metrics that are used to direct labeling effort toward the highest-value examples.
  • Autonomy Data Visualization
    • Deploy and maintain data visualization tooling to support log review, annotation QA, and autonomy debugging workflows.
    • Build integrations between the visualization tooling and the data lake so engineers can navigate from a dataset entry or model failure directly to the origin log data
    • Work with autonomy engineers to define and surface custom visualization panels and implement metrics for analyzing unstructured operating environments.
    • Build dashboards that provide the autonomy engineers visibility into data coverage by terrain type, operating environment and geographic region.
  • Cross-functional Collaboration
    • Establish and document data contracts between the data services and model training consumers.
    • Partner with perception, planning and embedded engineers across the data lifecyle: from shaping the logging schemas and collection triggers to defining the dataset interfaces that supply model training and evaluation.
    • Follow and help evolve data engineering standards, best practices, and tooling choices for an innovative and fast-paced team.
    • Contribute to the data roadmap and surface findings to senior technical leadership.

What You'll Need to Succeed:
  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering or a related field with 4+ years of data engineering experience or a Master's with 2+ years.
  • Strong proficiency in Python and SQL, with demonstrated ability to build production-quality data pipelines
  • Experience with cloud data infrastructure (AWS preferred: S3, Glue Athena, redshift, or equivalent) and infrastructure-as-code tools (Terraform, Cloud Formation).
  • Solid understanding of data partitioning strategies and columnar storage formats (Parquet, Orc, etc.)
  • Experience building and operating data pipelines that process time-series and binary data.
  • Proven ability to evaluate and integrate open-source tooling when appropriate versus building from scratch.
  • Good instincts for delivering data quality through first-class implementations of monitoring, validation and lineage tracking.

Bonus points!
  • Experience with autonomous vehicles, robotics, or other sensor-driven autonomous systems.
  • Deep experience with Foxglove or Rerun beyond basic playback, e.g. building custom extensions or integrating them into a structured log review or annotation QA workflow.
  • Familiarity with the MCAP CLI and/or python library and experience converting MCAP data to columnar data formats for further querying and processing.
  • Experience with data curation for ML training, e.g. diversity sampling, pseudo-labeling, and dataset versioning.

U.S. Citizenship Requirement:
This position requires access to information and systems that are restricted under U.S. law. Accordingly, only U.S. citizens are eligible for this role. This requirement is based on applicable government regulations and is not related to immigration status discrimination.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102913
Hiring Range for Job Opening
US Pay Range
$139,000-$166,800 USD

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