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No Experience Machine Learning Data Annotation Jobs in Lanham, MD

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow ... Handle sensitive data with discretion and comply with privacy and security policies. * Meet ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow ... Handle sensitive data with discretion and comply with privacy and security policies. * Meet ...

Seekr

Senior Data Scientist

Reston, VA

We are a fast-growing company where no one is a bystander. We offer you the opportunity to make a ... Experience with interactive machine learning (eg. active learning, reinforcement learning, machine ...

Innodata Inc.

AI Solutions Engineer

Washington, DC · On-site

$75 - $80/hr

Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required ... Experience configuring AI-assistive features in annotation platforms or ML data tooling * Active ...

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All JobsMachine Learning Data Annotation JobsNo Experience Machine Learning Data Annotation JobsNo Experience Machine Learning Data Annotation Jobs in Lanham, MD

No Experience Machine Learning Data Annotation information

See Lanham, MD salary details

$37.5K

$122.8K

$196.7K

How much do no experience machine learning data annotation jobs pay per year?

As of Aug 5, 2026, the average yearly pay for no experience machine learning data annotation in Lanham, MD is $122,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,100.00 per year, depending on experience, location, and employer.

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 is a no experience machine learning data annotation job?

'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 job categories do people searching No Experience Machine Learning Data Annotation jobs in Lanham, MD look for? The top searched job categories for No Experience Machine Learning Data Annotation jobs in Lanham, MD are:
No Experience Machine Learning Data Annotation jobs near you
Infographic showing various No Experience Machine Learning Data Annotation job openings in Lanham, MD as of July 2026, with employment types broken down into 4% Full Time, 5% Part Time, 83% Contract, and 8% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $122,841 per year, or $59.1 per hour.

Data Annotation Specialist

CaseGuard

Arlington, VA • On-site

$40K - $50K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is responsible for redacting sensitive information from files and reviewing, labeling, and categorizing images to support machine learning model training. Accuracy, confidentiality, and consistency are critical to success in this role.
Key Responsibilities:
  • Review digital documents and redact sensitive or confidential information according to established guidelines.
  • Perform accurate data entry and data validation to ensure high-quality datasets.
  • Review, label, and categorize images to support machine learning and AI model training.
  • Follow detailed annotation and redaction standards to ensure consistency.
  • Conduct quality checks to identify errors or inconsistencies.
  • Handle sensitive data with discretion and comply with privacy and security policies.
  • Meet productivity and accuracy benchmarks while managing multiple tasks.

Qualifications:
  • Bachelor's degree in any field.
  • High attention to detail and ability to work with repetitive tasks while maintaining accuracy.
  • Basic technical proficiency and ability to learn new software tools quickly.
  • Strong organizational skills and ability to meet deadlines.
  • Excellent communication skills and ability to follow instructions.
  • Ability to maintain confidentiality and handle sensitive information.

Benefits:
  • Competitive Salary
  • Stock Option
  • Medical, Dental, and Vision Insurance
  • 401K
  • Paid Vacation
  • Ten paid holidays per year
  • Friendly and Learning environment

Salary Range:$40,000 - $50,000
About CaseGuard
CaseGuard is a software company that helps law enforcement agencies, federal agencies, hospitals, schools, airports, and others manage all their media redaction needs in one easy-to-use redaction software. CaseGuard Studio is one of its kind. Our team is driven by a passion for great software design, the creation of great products, and the creative process, CaseGuard implements innovative ideas across multiple services and agencies.

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