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Data Annotation Engineer Jobs in Virginia (NOW HIRING)

Seekr

Senior Data Scientist

Reston, VA

Coordinate data collection and annotation efforts for supervised training efforts * Design and ... Strong programming skills in Python required. Experience in java and html a plus. * Experience ...

Seekr

Senior Data Scientist

Reston, VA · On-site

Coordinate data collection and annotation efforts for supervised training efforts * Design and ... Strong programming skills in Python required. Experience in java and html a plus. * Experience ...

Seekr

Senior Data Scientist

Reston, VA · On-site

Coordinate data collection and annotation efforts for supervised training efforts * Design and ... Strong programming skills in Python required. Experience in java and html a plus. * Experience ...

CoVar

Senior Machine Learning Engineer

Mclean, VA

$105K - $145K/yr

Experience with data curation/annotation workflows and dataset quality control. * Software engineering: Python (NumPy, scipy, pandas/polars), PyTorch (preferred) or TensorFlow, git, CI/CD pipelines ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

They are seeking a Staff AI Engineer to lead the development and delivery of AI solutions ... Data QA team to define annotation standards, resolve taxonomy issues, and identify data-quality ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

They are seeking a Staff AI Engineer to lead the development and delivery of AI solutions ... Data QA team to define annotation standards, resolve taxonomy issues, and identify data-quality ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site +1

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 ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

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 ...

Beyond SOF

Full Stack Developer (Java Developer)

Reston, VA · On-site

$54.50 - $70.50/hr

... Data Engineer with full stack developer experience and oracle database experience to help us ... Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ...

Vets2PM

CAD/Revit Drafter - Level II

Arlington, VA · On-site

$42.50 - $52/hr

... from engineers and project managers. * Convert legacy CAD or MicroStation files into Revit ... Support data integration efforts by attaching project attributes and relevant metadata to model ...

Ask IT consulting

Sr. Java Developer

Richmond, VA

$56.75 - $72.25/hr

Develop and maintain system documentation, including technical specifications, data mapping ... Reflection, Annotation is required. Extensive practical experience in building enterprise ...

Vets2PM

CAD/Revit Drafter - Level II

Arlington, VA · On-site

$42.50 - $52/hr

... engineers and project managers. Convert legacy CAD or MicroStation files into Revit, ensuring ... Support data integration efforts by attaching project attributes and relevant metadata to model ...

Soch Inc

Angular Full Stack Developer

Richmond, VA · On-site

$65 - $75/hr

Ensure smooth data handling between frontend and backend through efficient API integration ... Reflection, Annotation is required. * Extensive practical experience in building enterprise ...

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · On-site

$190K - $235K/yr

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Support annotation workflows by identifying and flagging imagery containing objects of interest

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Support annotation workflows by identifying and flagging imagery containing objects of interest

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Showing results 21-40

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Virginia

Data Annotation Engineer information

See Virginia salary details

$51.1K

$146.2K

$195.3K

How much do data annotation engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data annotation engineer in Virginia is $146,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $194,300.00 per year, depending on experience, location, and employer.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Virginia? For Data Annotation Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Virginia look for? The top searched job categories for Data Annotation Engineer jobs in Virginia are:
What cities in Virginia are hiring for Data Annotation Engineer jobs? Cities in Virginia with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Virginia as of August 2026, with employment types broken down into 54% Full Time, and 46% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $146,196 per year, or $70.3 per hour.

AI Engineer - AI+CryoET

Howard Hughes Medical Institute (HHMI)

Ashburn, VA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Howard Hughes Medical Institute (HHMI) is investing significantly to support AI-driven projects in scientific research. The AI Engineer role involves developing AI methods for 3D particle detection and structural analysis in cryo-electron tomography data, collaborating closely with experts across multiple institutions.
Responsibilities:
• Develop and evaluate deep learning models for detecting and localizing gold nanoparticles and macromolecular particles (e.g., nucleosomes, synaptic receptors) in cryoET data, and for identification of nucleosome arrangement and connectivity in chromatin.
• Develop methods to leverage gold nanoparticle detections to improve tomogram reconstruction, addressing challenges in tilt-series alignment, deformations, and low signal-to-noise conditions.
• Design and execute rigorous AI model training and evaluation pipelines, including proper handling of missing wedge artifacts, CTF effects, and sim-to-real transfer from MD-derived synthetic training data.
• Identify where additional human annotation and proofreading will be most helpful and design and guide annotation efforts.
• Contribute to scientific publications, present findings at conferences, and maintain a well-documented codebase enabling seamless reproduction and extension of results.
• Collaborate with interdisciplinary teams across multiple institutions.
Qualifications:
Required:
• Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related field, or equivalent combination of education and experience.
• 3+ years training and evaluating deep learning models, particularly on 3D or volumetric image data. Experience with detection, segmentation, or inverse problems in imaging is strongly preferred.
• Strong Python skills, and proficiency in PyTorch and/or JAX. Ability to reason about neural network behavior from first principles: how architectural choices, regularization, and training procedures affect model behavior.
• Rigorous experimental design: model comparisons, ablation studies, reproducibility.
• Commitment to open science.
• Experience with scalable GPU-based computing environments on Linux HPC clusters and high-throughput processing for large-scale data.
• Excellent communication skills and keen interest in working in a truly interdisciplinary environment.
Preferred:
• Experience with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging.
• Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data generation for training ML models.
• Experience with differentiable rendering, neural radiance fields, or analysis-by-synthesis approaches for 3D reconstruction.
• Knowledge of cryoET software tools (IMOD, Warp, RELION, AreTomo etc.) or microscopy data formats (MRC, Zarr).
• Experience with template matching, sub-tomogram averaging, or particle picking in cryo-EM/ET contexts.
Company:
Founded in 1953, HHMI invests in scientists at all career stages who make discoveries that advance human health and our fundamental understanding of biology. Founded in 1953, the company is headquartered in Chevy Chase, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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