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Entry Level Data Labeling Analyst Jobs in Frederick, MD

Workila

Data Analyst 1

Urbana, MD · On-site

Strong data analysis and profiling skills. * Strong knowledge of SQL needed to support data ... Duration: 6+ months Additional Information Apply online by clicking on green label "I am Interested ...

TEKsystems

L1 Datacenter Technician

Leesburg, VA · On-site

$22 - $25/hr

Level 1 Data Center Technician Focus: Entry-level data center support with hands-on hardware and ... Install, route, label, and document copper and fiber cabling. * Monitor data center environmental ...

AECOM

Entry-Level Geotechnical Engineer

Germantown, MD · On-site

AECOM is seeking an Entry Level Geotechnical Engineer to be based in Germantown, MD. This position ... analysis. * Assist in the preparation of geotechnical data reports, geotechnical design reports ...

SriSai BioPharma

Inventory Associate

Frederick, MD · On-site

$22 - $28/hr

Every box moved, every label applied, and every record maintained contributes to a chain of care ... Follow standard operating procedures (SOPs) to maintain compliance and data integrity.

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Entry Level Data Labeling Analyst information

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$13

$32

$61

How much do entry level data labeling analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level data labeling analyst in Frederick, MD is $32.74, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $36.59 per hour, depending on experience, location, and employer.

What is an entry level data labeling analyst?

Entry Level Data Labeling Analysts are professionals who tag, categorize, or annotate data such as images, text, audio, or video to help train machine learning models. Their work is crucial in ensuring that artificial intelligence systems receive accurate and well-organized information for learning and prediction tasks. Typically, these analysts use specialized software tools to label data based on guidelines provided by data scientists or project leads. This role often requires attention to detail, consistency, and the ability to follow instructions closely. Entry level positions typically do not require advanced technical skills, making it a common starting point for those interested in AI and data science fields.

What does an entry level data labeling analyst do?

As an Entry Level Data Labeling Analyst, your daily tasks will often include reviewing and categorizing images, text, audio, or video datasets according to specific guidelines. You will use specialized software tools to tag or annotate data, ensuring accuracy and consistency to help train machine learning models. Your attention to detail directly impacts the quality of AI systems, making your work essential for the success of data-driven projects. Collaboration with team leads and engineers is common, as they may provide feedback or clarify labeling requirements.

What are the key skills and qualifications needed to thrive as an entry level data labeling analyst?

To thrive as an Entry Level Data Labeling Analyst, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data labeling platforms, spreadsheets, and annotation tools such as Labelbox or Supervisely is often required. Diligence, consistency, and the ability to follow instructions precisely are standout soft skills in this role. These competencies ensure the accurate and efficient preparation of high-quality labeled data, which is crucial for training reliable machine learning models.

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Entry Level Data Labeling Analyst jobs near you

Data Analyst 1

Workila

Urbana, MD • On-site

Contractor

Re-posted 8 days ago

Job description

Company Description

The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Workila, and make delivering innovative work part of your extraordinary career.

Job Description

Client: Fannie Mae 

W2 only contract 

  • Must be able to quickly ramp up and gain functional understanding of new subject area
  • Has strong written/verbal communication skills with an ability to provide clear and concise daily status updates to team and management
  • Must be proactive in identifying efficiencies and process improvements.
  • Works with business and technical partners seamlessly to address inquiries and release needs.
  • Enables productivity by sharing knowledge within and across teams.
  • Must be able to quickly adapt to changing priorities.
Subject Area/Functional Knowledge
  • Strong data analysis and profiling skills.
  • Strong knowledge of SQL needed to support data analysis and testing.
  • Ability to collect, translate, and document complete and effective requirements following all applicable standards.
  • Ability to develop test cases and perform testing.
  • Can perform data validation/reconciliation using sources and targets.
  • Demonstrates an ability to build an analysis approach, executes data analysis and document issue(s) in accordance with standards.
  • Able to convert business requirements into data requirements and maintain data specifications
Nice to have
  • Knowledge of mortgage industry or finance a plus.
  • Past experience working in Fannie Mae Multifamily teams.
  • Experience with Microsoft TFS.
  • Location: Urbana, MD with travel to Washington, DC
  • Duration: 6+ months
Additional Information

Apply online by clicking on green label "I am Interested" 

or call if you have any question however applying online is the best way to apply. 

US #  571-403-0435 

India # 9999 883 470 

Apply