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Part Time Image Analysis Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton, Inc.

OSINT Analyst

Alexandria, VA · On-site

$62K - $141K/yr

Provide direct PAI and OSINT analysis support to the intelligence, operations, and collections ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsImage Analysis JobsPart Time Image Analysis JobsPart Time Image Analysis Jobs in Virginia

Part Time Image Analysis information

What is the difference between Part Time Image Analysis vs Part Time Data Annotation?

AspectPart Time Image AnalysisPart Time Data Annotation
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech-focusedRemote or on-site, tech-focused
Industry UsageAI, machine learning, healthcare, securityAI, machine learning, autonomous vehicles
Common Search IntentUnderstanding image review tasksUnderstanding data labeling tasks

Part Time Image Analysis involves reviewing and interpreting visual data, often for AI training or security purposes. Part Time Data Annotation focuses on labeling data, including images, to help train machine learning models. While both roles require attention to detail and similar skills, Image Analysis emphasizes evaluating images, whereas Data Annotation centers on labeling and tagging data for AI development.

What is a Part Time Image Analysis job?

A Part Time Image Analysis job involves working with digital images to extract information, identify patterns, or classify objects, usually using specialized software or AI tools. This role can be found in fields like healthcare, research, remote sensing, retail, or content moderation. As a part-time position, it allows for flexible scheduling and may be suitable for students or individuals seeking supplementary income. Typical tasks may include annotating images, verifying AI-generated results, or assisting with data organization for machine learning projects.

What types of projects and team collaborations can I expect in a part-time image analysis role?

In a part-time image analysis position, you will often work on a variety of projects such as annotating datasets, evaluating image quality, or supporting machine learning model development. Collaboration is typically with data scientists, engineers, and sometimes product teams, either remotely or in hybrid settings. Communication is usually managed through project management tools and regular check-ins to ensure alignment. Flexibility and attention to detail are important, as you may need to adapt to changing project requirements and deadlines.

What are the key skills and qualifications needed to thrive as a Part Time Image Analyst, and why are they important?

To thrive as a Part Time Image Analyst, you need a strong background in visual interpretation, attention to detail, and often a relevant degree in fields like computer science, engineering, or a related discipline. Familiarity with image analysis software such as Adobe Photoshop, MATLAB, or specialized AI-based tools, along with knowledge of data annotation platforms, is typically required. Strong analytical thinking, problem-solving, and the ability to communicate findings effectively are valuable soft skills in this role. These competencies ensure high-quality, accurate image evaluation and support reliable data-driven decision-making in various industries.
What are the most commonly searched types of Image Analysis jobs in Virginia? The most popular types of Image Analysis jobs in Virginia are:
What are popular job titles related to Part Time Image Analysis jobs in Virginia? For Part Time Image Analysis jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Part Time Image Analysis jobs in Virginia look for? The top searched job categories for Part Time Image Analysis jobs in Virginia are:
What cities in Virginia are hiring for Part Time Image Analysis jobs? Cities in Virginia with the most Part Time Image Analysis job openings:
Part Time Image Analysis jobs near you
Spectral Image Scientist

Spectral Image Scientist

Booz Allen Hamilton, Inc.

Springfield, VA • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 11 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description

Job Description
Remote Work:
No
Job Number:
R0238650
Location:
Springfield,VA,US
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Spectral Image Scientist
The Opportunity:
Leverage advanced and specialized physics research expertise to test and analyze physical phenomena, conduct and shape R&D programs, and support S&T client challenges. Apply advanced skills, extensive technical expertise, and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction and mentor and supervise team members.
You Have:
  • 7+ years of experience in the field of remote sensing, image processing, or image science
  • 3+ years of experience with applied image processing and scientific analysis of spectral image data with commercial and civil data sources
  • Experience with techniques, algorithms, and spectroscopic analysis required for processing hyperspectral or multispectral imagery from airborne or space-borne systems
  • Experience collaborating with national and service intelligence agencies or centers, including imagery collection and exploitation and GEOINT
  • Experience using Microsoft programs, such as Outlook, Word, PowerPoint, Access, and Excel
  • Knowledge of spectral imaging, phenomenology, and processing techniques
  • Knowledge of overhead intelligence collection systems
  • Ability to parse code and scripts in IDL, JAVA, MATLAB, Python, or R
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field

Nice If You Have:
  • Experience working with manmade irradiance sources, including LEDs and other lights in an optics or remote sensing context
  • Experience with signature library development and using Harris' ENVI COTS image processing software or ERDAS IMAGINE
  • Experience with sensor design principles and their relationship to sensor performance
  • Experience in tool development and software coding in IDL, MATLAB, C++, or Python, and with the development and use of APIs
  • Experience in atmospheric science and with GIS software and methodological principles, especially ArcGIS
  • Experience with the Amazon C2S cloud infrastructure framework, including PKIs and content and access security constraints
  • Master's degree in a Science, Social Science, or Security field
  • Completion of Training in the field of Remote Sensing, Earth Science, Physical Science, Engineering, or Mathematics

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 $99,000.00 to $225,000.00 (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

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