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Senior Data Annotation Analyst Jobs in Virginia (NOW HIRING)

Senior Data Analyst

Arlington, VA ยท On-site

$120K - $135K/yr

The Senior Data Analyst applies extensive knowledge and experience to obtain, integrate, and report programmatic and investment related data and develop and apply analytic methodologies and ...

Senior Data Analyst

Arlington, VA ยท On-site

$98K - $124K/yr

Air is looking for motivated, curious, and data-driven individuals to join our team as Senior ... In order to do this job well, you must be analytical, understand people, have a strong drive to use ...

Senior Data Analyst

Arlington, VA

$98K - $124K/yr

Air is looking for motivated, curious, and data-driven individuals to join our team as Senior ... In order to do this job well, you must be analytical, understand people, have a strong drive to use ...

Senior Data Analyst

Arlington, VA ยท On-site

$120K - $140K/yr

Tenacious Solutions, LLC is seeking a Senior Data Analyst with an active public trust clearance to assist a client in the Northern VA area. This is a crucial role in helping our client make data ...

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team Overview The Senior Data Analyst will report into a Senior Manager of Data Science & Analytics. As ...

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team Overview The Senior Data Analyst will report into a Senior Manager of Data Science & Analytics. As ...

Senior Data Analyst

Arlington, VA ยท On-site

$95K - $108K/yr

[solidcore] is looking for a Senior Data Analyst to join our HQ team. You will work closely with marketing, studio operations and strategy to develop insights with actionable recommendations for our ...

Overview What You'll Be Doing Cadmus is seeking a Senior Data Analyst to support our financial commercial client. This candidate would partner with technical business consumers across Business ...

Senior Data Analyst

Mclean, VA ยท On-site

$115K - $130K/yr

Overview What You'll Be Doing Cadmus is seeking a Senior Data Analyst to support our financial commercial client. This candidate would partner with technical business consumers across Business ...

Senior Data Analyst

Mclean, VA ยท On-site

$140K - $160K/yr

What You'll Be Doing Cadmus is seeking a Senior Data Analyst to support our financial commercial client. This candidate would partner with technical business consumers across Business Intelligence ...

Senior Data Management Analyst

Dahlgren, VA ยท On-site

$87K - $110K/yr

Description Client Solution Architects (CSA) is currently seeking a Senior Data Management Analyst to support a program at Dahlgren Naval Base. For nearly 50 years, CSA has delivered integrated ...

Senior Data Management Analyst

Dahlgren, VA ยท On-site

$87K - $110K/yr

Client Solution Architects (CSA) is currently seeking a Senior Data Management Analyst to support a program at Dahlgren Naval Base. For nearly 50 years, CSA has delivered integrated technology and ...

Senior Data Science Analyst

Richmond, VA ยท On-site

$57 - $61/hr

Senior Data Science Analyst Location: Richmond, VA (1 week in office, 1 week remote) Duration: 12 months Job ID: 178683 Job Overview: The Senior Data Science Analyst will play a critical role in ...

The Senior Data Scientist will play a pivotal role in developing and implementing data-driven ... Advanced Analytics: Apply statistical and machine learning techniques to collect and analyze large ...

Showing results 41-60

Senior Data Annotation Analyst information

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

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

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

What are the most commonly searched types of Data Annotation Analyst jobs in Virginia? The most popular types of Data Annotation Analyst jobs in Virginia are:
What cities in Virginia are hiring for Senior Data Annotation Analyst jobs? Cities in Virginia with the most Senior Data Annotation Analyst job openings:

Senior Data Analyst

Kalman & Company, Inc.

Arlington, VA โ€ข On-site

$120K - $135K/yr

Full-time

Posted 10 days ago


Job description

Kalman & Company is seeking a highly motivated, performance-driven individual with strong cost analysis experience to work closely with our Department of Homeland Security (DHS) clients. Successful candidates will have excellent communication, quantitative, research, and analytical skills and the ability to principally contribute to several of the largest and most significant studies in Kalman's portfolio. This position will require on-site work in Arlington, VA. The salary range is $120K/yr-$135K/year. This position is tied to a government proposal.

A career with Kalman & Company, Inc. is both rewarding and challenging. Our clients require skilled, hardworking, innovative support service providers who can meet the demands of a dynamic and fast-paced workplace. As a Kalman Analyst, you will work with military leaders, engineers, developers, technicians, logisticians, and financial managers to collect, analyze, and communicate information that will help ensure the success of programs that are critical to the United States Department of Defense and our allies.

Duties/Responsibilities:

The Senior Data Analyst applies extensive knowledge and experience to obtain, integrate, and report programmatic and investment related data and develop and apply analytic methodologies and principles; lead the application of analytic techniques and help define project objectives and strategic direction; resolve complex problems which require an in-depth knowledge of analytic methodologies and principles; analyze acquisition and investment data, formulate conclusions and recommendations, design and develop materials, and evaluate effectiveness in accordance with stated guidelines, speculations, and models; conduct research, data gathering, and technical reviews; produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities; troubleshoot issues in reports related to data; assimilate, integrate, and interface technical knowledge with business/system requirements; utilizes scripting and querying tools like Python, R, or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards.

  • Possess and apply a comprehensive knowledge of industry data standards and processes across key tasks and high impact assignments.
  • Plan and lead major technology assignments related to data collection, storage, and use of quality data in support of the objectives.
  • Identify critical cost, budget, and capability trends of investments through use of relational data analysis.
  • Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently.
  • Design, develop, and implement business solutions that support optimized investment decisions.
  • Prepare data, implement data models, and develop databases to support the business solutions.

Minimum Requirements:

  • US Citizenship is required.
  • An Active Secret Clearance or the ability to obtain a government issued clearance.
  • At least 7 years of experience in support of government acquisition and knowledge of requirements to collect, store, organize, and assess data related to acquisition programs.
  • Bachelor’s degree or higher
  • Demonstrated capability to work both independently and under the direction of experienced analysts.
  • Demonstrated ability to work in a dynamic work environment and ability to coordinate and perform multiple assignments.
  • Possess excellent communication skills, both written and verbal
  • Possession of a government or industry standard data science certification.