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No Experience Machine Learning Data Annotation Jobs in Virginia

... Develop machine learning algorithm Identify trends and business insights from data Create ... dashboards and visualization Work with stakeholders to solve business problem Present findings and ...

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and ... Experience in healthcare industry and working with healthcare data * Experience with cloud ...

... machine learning principles, techniques, and technologies. Level 3 Data Scientist: * Data Scientist Level 3 Qualifications: Bachelor's degree or equivalent and seven (7) years of relevant experience ...

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No Experience Machine Learning Data Annotation information

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What are 'No Experience Machine Learning Data Annotation' jobs?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

What are the key skills and qualifications needed to thrive as a No Experience Machine Learning Data Annotation Specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Virginia? The most popular types of Machine Learning Data Annotation jobs in Virginia are:
What are popular job titles related to No Experience Machine Learning Data Annotation jobs in Virginia? For No Experience Machine Learning Data Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching No Experience Machine Learning Data Annotation jobs in Virginia look for? The top searched job categories for No Experience Machine Learning Data Annotation jobs in Virginia are:
What cities in Virginia are hiring for No Experience Machine Learning Data Annotation jobs? Cities in Virginia with the most No Experience Machine Learning Data Annotation job openings:

Senior Imagery Analyst (Data Annotation) with Security Clearance

Vantor

Falls Church, VA • On-site

$91K - $116K/yr

Other

Retirement

Re-posted 2 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI level. Vantor is seeking a detail-oriented Senior Imagery Analyst (Data Annotation) to guide and improve annotation workflows across EO, SAR, and commercial imagery. You'll perform quality validation efforts, mentor junior team members, and drive continuous improvement in annotation standards to support mission-critical AI/ML development. Responsibilities: * Provide quality assurance reviews of annotated geospatial imagery * Train and mentor junior annotators on best practices * Identify systemic annotation issues and drive corrective actions * Validate annotation accuracy across multiple formats (bounding boxes, segmentation, center points) * Collaborate with peers, quality lead, program managers, and other critical partners to align data output with downstream model needs * Recommend and implement improvements to annotation tools and processes * Write and maintain annotation guidelines and quality control documentation Minimum Qualifications: * U.S. citizenship and active TS/SCI clearance * 7+ years of experience with EO, SAR, COMINT, and/or commercial imagery analysis and geospatial data annotation * Proficiency in geospatial software tools (e.g., ArcGIS, QGIS) * Experience using Remote View, SOCET GXP, and/or Fade/Mist * Demonstrated leadership in data validation or quality assurance processes * Experience with object classification, visual QA, and annotation feedback cycles Preferred Qualifications: * Experience supporting government or defense missions * Familiarity with automated quality metrics or annotation pipelines * Experience with SAR-specific feature analysis * Basic scripting or automation (e.g., Python, Jupyter) is a plus * Prior experience writing SOPs or developing team workflows #cjpost #LI-RD Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is: $115,000.00 - $120,000.00 Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.