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Data Work Jobs in Washington (NOW HIRING)

KIPP DC

Data Support Associate

Washington, DC · On-site

$54K - $57K/yr

Data Support Associate Job Summary The Data Support Associate role is an integral part of the Data ... Our work is grounded in five pillars-Academic Excellence, Joy & Sense of Belonging, Highly ...

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Capital One

Data Analytics Manager- Card

Mclean, VA

Work with vast amounts of data in new and evolving environments * Be a part of growing and developing our brand in new and emerging markets * Leverage analytics to create a customer experience above ...

Capital One

Data Analytics Manager- Card

Mclean, VA · On-site

Work with vast amounts of data in new and evolving environments * Be a part of growing and developing our brand in new and emerging markets * Leverage analytics to create a customer experience above ...

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All JobsData Work JobsData Work Jobs in Washington

Data Work information

See Washington salary details

$52.1K

$186.9K

$275.8K

How much do data work jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data work in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

What does a data worker do?

A data worker collects, organizes, and analyzes data to support decision-making and business operations. They often use tools like spreadsheets, databases, and data analysis software, and may need skills in data cleaning, management, and basic statistical analysis.

What are some common challenges faced by professionals working in data roles, and how can they be addressed?

Professionals in data work often encounter challenges such as managing large volumes of unstructured data, ensuring data quality, and collaborating across teams with varying levels of technical expertise. Addressing these challenges requires strong organizational skills, the ability to communicate findings clearly to both technical and non-technical stakeholders, and a commitment to continuous learning as tools and best practices evolve. Building relationships with colleagues in IT, analytics, and business units can also help streamline workflows and improve data accuracy.

How can I make 2000 a week working from home?

Data work roles such as data analyst, data entry, or data scientist can offer remote opportunities that, with experience and specialized skills, potentially generate $2000 or more weekly. Achieving this income typically requires advanced skills, certifications, or working on high-paying projects, often involving freelance platforms or direct client contracts.

What are the key skills and qualifications needed to thrive in Data Work, and why are they important?

To excel in Data Work, you need strong analytical abilities, attention to detail, and a solid background in mathematics or statistics, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Excel, and visualization platforms like Tableau or Power BI, as well as familiarity with programming languages like Python or R, is typically required. Effective communication, problem-solving, and collaboration skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for ensuring accurate data interpretation, driving informed decisions, and delivering value in data-driven environments.

What job makes $10,000 a month without a degree?

In data-related fields, roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month with relevant skills and experience. These jobs often require proficiency in tools like SQL, Python, or R, and may involve remote work or flexible schedules.

What are the careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, database administrator, and business intelligence analyst. These positions typically require skills in programming, statistics, and data visualization tools, and often involve working with large datasets and data management systems.

What is the difference between Data Work vs Data Analysis?

AspectData WorkData Analysis
Required CredentialsOften includes certifications like Microsoft Excel, SQL, or basic data management coursesTypically requires a degree in statistics, mathematics, or related fields, along with analytical certifications
Work EnvironmentData management, data entry, database maintenance, and data cleaning tasksInterpreting data, creating reports, and deriving insights from datasets
Employer & Industry UsageUsed across industries for data organization and maintenanceCommonly employed in business, finance, marketing, and research for decision-making

Data Work involves managing and maintaining data systems, focusing on data entry and organization. Data Analysis centers on interpreting data to generate insights and support business decisions. While both roles require familiarity with data tools, Data Work emphasizes data management skills, whereas Data Analysis emphasizes analytical and interpretative skills.

What is data work?

Data work refers to the process of collecting, organizing, analyzing, and interpreting data to help organizations make informed decisions. It can include tasks like data entry, data cleaning, database management, and data analysis. People who do data work may use software tools such as Excel, SQL, or specialized analytics programs to process and visualize information. Effective data work is essential in various industries, including business, healthcare, finance, and research.
What cities in Washington are hiring for Data Work jobs? Cities in Washington with the most Data Work job openings:
Data Work jobs near you
Project Perseus \u007C Data Quality Analyst - Italian Speakers (Human-in-the-Loop AI)

Project Perseus \u007C Data Quality Analyst - Italian Speakers (Human-in-the-Loop AI)

Welo Data

Washington, DC

$38/hr

Full-time

Posted 16 days ago

Job description

Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.

You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.

Project Details

  • Job Title: Data Quality Analyst
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • 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: $38/hour
  • Contract Duration: 1-year contract with possibility of extension

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
  • Support quality and execution across DLA teams, ensuring work meets defined standards at scale
  • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
  • Act as the first line of support for DLAs — answering questions and helping interpret guidelines
  • Help DLAs navigate ambiguity and apply evolving instructions effectively
  • Support onboarding and training of new DLAs through hands-on guidance and coaching
  • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
  • Identify patterns, recurring issues, and edge cases in both human and model outputs
  • Participate in calibrations, team discussions, and stakeholder syncs
  • Contribute to improving guidelines, processes, and overall team performance
  • Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 2–4 years of experience in data annotation, content quality, QA, or related fields
  • Strong ability to interpret and apply complex guidelines with consistency
  • Excellent attention to detail with a high bar for quality
  • Ability to stay consistent while working with evolving guidelines and priorities
  • Experience in AI/ML data workflows or human-in-the-loop evaluation environments
  • Prior experience auditing or reviewing the work of others
  • Familiarity with safety, compliance, or policy-driven content evaluation
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.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.