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Data Labeling Analyst Ii Jobs in Silver Spring, MD

Welo Data

Data Labeling Associate

Washington, DC

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred) * A Bachelor's degree holder PROJECT DETAILS * Location: 100% Onsite (Bay Area, Seattle ...

Verisign

Data Analyst II

Reston, VA · Hybrid

$89K - $121K/yr

The Data Analyst II, as a member of the Business Intelligence and Data Analytics team, analyzes and helps solve complex business problems using data and available resources to provide insight to ...

Stryker Corporation

Data Analyst II

Reston, VA · On-site

$89.90 - $121.70/hr

The Data Analyst II, as a member of the Business Intelligence and Data Analytics team, analyzes and helps solve complex business problems using data and available resources to provide insight to ...

Verisign

Data Analyst II

Reston, VA · On-site

$89K - $121K/yr

The Data Analyst II, as a member of the Business Intelligence and Data Analytics team, analyzes and helps solve complex business problems using data and available resources to provide insight to ...

Cortek Inc

Data Analyst II

Falls Church, VA

Data Analyst II Location: Government facility 95% and Contractor facility 5%. The place of performance may include both government and contractor sites in the following locations: the government site ...

Cortek Inc

Data Analyst II

Falls Church, VA · On-site

Data Analyst II Location: Government facility 95% and Contractor facility 5%. The place of performance may include both government and contractor sites in the following locations: the government site ...

Amivero

Data Analyst II

Washington, DC

$94K - $100K/yr

The analyst will support data governance, data quality, and reporting processes while collaborating with stakeholders to improve data accessibility, transparency, and the effective use of data across ...

Cortek Inc

Data Analyst II

Falls Church, VA · On-site

Data Analyst IILocation: Government facility 95% and Contractor facility 5%. The place of performance may include both government and contractor sites in the following locations: the government site ...

Novul Solutions

Data Analyst

Arlington, VA · On-site

Overview We are seeking an experienced Data Analyst to support enterprise-wide data governance ... Manage the coordination and deployment of data tagging and labeling mechanisms across the DoW SAP ...

IFAS LLC

Financial Analyst II

Fort George G Meade, MD · On-site

The Financial Analyst 2 uses data from multiple reports, including General Fund Daily Status of Funds Reports and Dashboard Reports, to provide consolidated reports and briefings such as the ...

IFAS

Financial Analyst II

Fort George G Meade, MD · On-site

$95K - $110K/yr

The Financial Analyst 2 uses data from multiple reports, including General Fund Daily Status of Funds Reports and Dashboard Reports, to provide consolidated reports and briefings such as the ...

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All JobsData Labeling Analyst Ii JobsData Labeling Analyst Ii Jobs in Silver Spring, MD

Data Labeling Analyst Ii information

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$35.1K

$85.4K

$140.6K

How much do data labeling analyst ii jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data labeling analyst ii in Silver Spring, MD is $85,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 per year, depending on experience, location, and employer.

What does a data labeling analyst II do?

A Data Labeling Analyst II is responsible for accurately categorizing and annotating large datasets, which are often used to train machine learning models. This role involves reviewing data such as images, audio, text, or videos and applying predefined tags or labels according to specific guidelines. A Data Labeling Analyst II may also help improve labeling processes, provide feedback on data quality, and support junior analysts. Their work ensures that AI and data-driven technologies can learn effectively from high-quality, well-labeled data.

How does a data labeling analyst II typically collaborate with data scientists and machine learning engineers during projects?

As a Data Labeling Analyst II, you will frequently work closely with data scientists and machine learning engineers to ensure datasets are accurately annotated for model training and validation. Collaboration often involves clarifying labeling guidelines, providing feedback on ambiguous cases, and adjusting annotation strategies based on project goals. Regular communication and review sessions help maintain consistency and high-quality data, which are vital for successful machine learning outcomes. This teamwork also offers opportunities to learn more about the end use of labeled data and to contribute ideas that improve overall data processes.

What are the key skills and qualifications needed to thrive as a data labeling analyst II, and why are they important?

A Data Labeling Analyst II should possess strong attention to detail, familiarity with data annotation processes, and a background in computer science or a related field. Proficiency with data labeling tools such as Labelbox, Supervisely, or CVAT, as well as experience with database management systems, is typically required. Excellent communication, problem-solving abilities, and adaptability help analysts efficiently collaborate and manage evolving project requirements. These skills ensure the creation of high-quality labeled datasets, which are essential for training accurate machine learning models.

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For Data Labeling Analyst Ii jobs in Silver Spring, MD, the most frequently searched job titles are:

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Data Labeling Analyst Ii jobs near you
Infographic showing various Data Labeling Analyst Ii job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $85,431 per year, or $41.1 per hour.

Project Perseus | Speech & Voice AI Analyst - Czech Speakers

Washington, DC • On-site

Welocalize
Translation Services • 1 - 5K employees

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

339th of 499 rated business services

People enjoy working here

Respectful managers

Good training

Learn more about Welocalizeexternal

$26 - $28/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Data Labeling Analyst

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You'll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We're looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You'll Do

  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions

What We're Looking For

  • Native-level fluency in Czech
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus

Benefits

  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)

Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location

$26 - $28 an hour Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It's a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

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