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Day Shift Remote Data Annotation Jobs in Virginia

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

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

Sr. HR Analytics Analyst

Fairfax, VA · On-site +1

$90K - $119K/yr

This remote role will be full-time day shift working Monday - Friday. The Sr. HR Analytics Analyst is responsible for collecting, analyzing, reporting and interpreting data for use in the development ...

Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ... Experience working with remote sensing imagery including geometry, radiometric normalization ...

Financial Data Analyst

Richmond, VA · On-site +1

$103K - $131K/yr

Reporting to the Director of FP&A and partnering day-to-day with the VP of FP&A and VP of Capital ... Remote opportunities are available to candidates throughout the United States. Salary Range: $103 ...

New

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0236797 Location: McLean,VA,US Share job via: Share Data Scientist The ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

Data Scientist

Alexandria, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0241418 Location: Alexandria,VA,US Share job via: Share Data Scientist ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244172 Location: Chantilly,VA,US Share job via: Share Data Scientist ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246129 Location: Chantilly,VA,US Share job via: Share Data Scientist ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

Showing results 41-60

Day Shift Remote Data Annotation information

What are the key skills and qualifications needed to thrive as a day shift remote data annotation specialist?

To excel as a Day Shift Remote Data Annotation Specialist, strong attention to detail, a solid understanding of data labeling concepts, and basic computer literacy are essential, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes knowledge of specific industry standards or guidelines is typically expected. Excellent time management, communication skills, and the ability to work independently make candidates stand out in this remote role. These capabilities ensure accuracy, efficiency, and reliability in processing and labeling data, which are critical for the quality of machine learning and AI projects.

What is the difference between Day Shift Remote Data Annotation vs Day Shift Remote Data Labeling?

AspectDay Shift Remote Data AnnotationDay Shift Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageTech, AI, Machine LearningTech, AI, Machine Learning
Job FocusAdding annotations to datasetsApplying labels to datasets

Both roles involve working remotely in tech and AI industries, requiring similar skills. Data annotation typically involves marking specific features in data, while data labeling focuses on assigning categories. The main difference lies in the terminology and specific task details, but both are essential for training AI models.

What are some common challenges faced by remote data annotation professionals working day shifts, and how can they be managed?

Remote data annotation professionals on day shifts often encounter challenges such as staying focused during repetitive tasks, maintaining high accuracy, and managing communication across distributed teams. To address these, it's helpful to establish a structured daily routine, take regular short breaks to reduce eye strain and fatigue, and use productivity tools to track progress. Proactive communication with team members and supervisors—using chat platforms or regular video check-ins—also helps ensure alignment on project guidelines and fosters a collaborative remote work environment.

What is a day shift remote data annotation?

A Day Shift Remote Data Annotation job involves labeling or tagging data—such as images, text, audio, or video—so that it can be used to train machine learning models. This work is performed remotely, generally during regular daytime business hours. Data annotators follow specific guidelines to ensure accuracy and consistency, making their work crucial for the development of artificial intelligence systems. Some common tasks include identifying objects in images or transcribing spoken words in audio files. The role typically requires attention to detail and basic computer skills, but extensive technical expertise is usually not required.

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

The most popular types of Shift Remote Data Annotation jobs in Virginia are:

What job categories do people searching Day Shift Remote Data Annotation jobs in Virginia look for?

The top searched job categories for Day Shift Remote Data Annotation jobs in Virginia are:

What cities in Virginia are hiring for Day Shift Remote Data Annotation jobs?

Cities in Virginia with the most Day Shift Remote Data Annotation job openings:

Data Scientist, Mid

Booz Allen Hamilton, Inc.

Springfield, VA • On-site, Remote

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 3 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0246180
Location:
Springfield,VA,US
Share job via:
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Data Scientist, Mid
The Opportunity:
Provide statistical and mathematical support to analyze and interpret a wide range of data to help leadership understand the value of anomalies and support strategic decisions. Interpret and analyze leadership information needs, and design and implement data analysis projects to address those needs by incorporating best practices, appropriate data, and proven techniques from experience or research methods. Leverage wide-ranging data sources to develop and communicate an understanding of phenomena and trends. Provide insights through repeatable, transparent analysis that will be used to inform division strategy and decisions. Assist in the construction of data sets and data views to utilize and communicate complex data sets meaningfully and appropriately. Assist with the implementation of statistical analysis process improvements and the incorporation of statistical research into new analytical products and methods. Generate and maintain reports, schematics, and other documentation sufficient to maintain awareness of data ingestion, conditioning, and visualization processes on a regular basis and modify them as required. Provide continuous feedback and recommendations to leadership. Develop performance metrics to assess business analytics maturity level.
Join us. The world can't wait.
You Have:
  • 7+ years of experience in data science, mathematics, or a scientific field
  • Experience with SQL and PL/SQL, and with common data science libraries such as Pandas, NumPy, SciPy, and scikit-learn
  • Experience with environments such as API, Visual Studio, Jupyter Notebook, PyCharm, Anaconda, or miniconda, and with database development and administration tools, such as SQL*Plus, SQL Developer, or PostgreSQL
  • Experience with data mining
  • Experience using software packages used for advanced statistical analysis of operational data and tools for data visualization
  • Ability to develop mathematical algorithms and applications in response to complex requirements
  • Ability to identify systems enhancements and new capabilities, concept demonstrators, and capability business cases, and provide training as new systems and capabilities move into operational use
  • Ability to work independently in a fast-paced, constantly changing environment and interact and work in a team environment
  • TS/SCI clearance
  • Bachelor's degree in Statistics, Mathematics, Image Science, Remote Sensing, Earth Science, or Physical Science

Nice If You Have:
  • Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914