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Welo Data Jobs in Springfield, VA (NOW HIRING)

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Welo Data information

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$48.3K

$173.3K

$255.8K

How much do welo data jobs pay per year?

As of Jun 14, 2026, the average yearly pay for welo data in Springfield, VA is $173,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $178,600.00 per year, depending on experience, location, and employer.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as surgeons, anesthesiologists, corporate lawyers, and certain executive positions. These roles often require advanced education, certifications, extensive experience, and may involve high-stakes environments or freelance consulting in fields like finance or technology. Earnings can vary based on location, workload, and industry demand.

How does Welo Data work?

Welo Data is a data analysis role that involves collecting, processing, and interpreting large datasets to support business decisions. It typically requires skills in data tools like SQL, Python, or R, and may involve working with data visualization software. The role often includes analyzing data trends and presenting findings to stakeholders.

Is Welo Data a real company?

Welo Data is a company that offers data analysis and consulting services. It is a legitimate business operating in the data industry, and employment opportunities may involve skills in data management, analytics tools, and client support.

How does a Welo Data professional typically collaborate with other teams within an organization?

As a Welo Data professional, you’ll frequently work cross-functionally with teams such as product management, engineering, and business analytics. Your role often involves translating complex data insights into actionable recommendations, which requires strong communication and collaboration skills. You may participate in regular meetings to align data projects with business goals and ensure accurate data integration across departments. Building relationships and understanding the needs of various stakeholders is key to driving successful data initiatives and fostering a data-driven culture.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you should have strong analytical abilities, proficiency in statistics, and a relevant degree in mathematics, computer science, or a related field. Familiarity with data analysis tools such as SQL, Excel, Python, and visualization platforms like Tableau or Power BI is typically required. Critical thinking, attention to detail, and effective communication are standout soft skills for this role. Mastering these skills enables Data Analysts to interpret complex data, deliver actionable insights, and support informed business decisions.

Which 3 jobs will survive AI?

Data analysts, software developers, and cybersecurity professionals are expected to continue thriving as AI automates routine tasks but still requires human oversight, creativity, and complex problem-solving skills. These roles involve interpreting data, designing algorithms, and managing security systems that AI cannot fully replicate. Continuous learning and proficiency with relevant tools like programming languages and security protocols are essential for these jobs to remain resilient.

What is the difference between Welo Data vs Data Analyst?

AspectWelo DataData Analyst
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Microsoft Certified Data Analyst are commonSimilar credentials; often holds degrees in statistics, mathematics, or computer science; certifications like Microsoft Certified Data Analyst are also valued
Work EnvironmentPrimarily in tech companies, startups, or data-driven organizations; involves working with data teams and software toolsIn various industries including finance, healthcare, marketing; involves analyzing data sets and creating reports
Employer & Industry UsageUsed in tech, e-commerce, and data-centric companies; roles focus on data collection, cleaning, and analysisWidely used across industries; focuses on interpreting data to inform business decisions

Welo Data and Data Analyst roles share similar educational backgrounds and work environments, often involving data analysis tools and certifications. While Welo Data may be more specialized in certain platforms or methodologies, both roles aim to extract insights from data to support organizational goals.

What are Welo Data professionals?

Welo Data professionals are specialists who work with data solutions provided by Welo, a company known for its digital collaboration and data management platforms. These professionals typically manage, analyze, and interpret data to help organizations make informed decisions and optimize their operations. Their role may include facilitating data integration, maintaining data quality, and supporting the implementation of Welo's collaboration tools. They often work closely with IT, business analysts, and other stakeholders to ensure data-driven solutions meet organizational needs.
What job categories do people searching Welo Data jobs in Springfield, VA look for? The top searched job categories for Welo Data jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Welo Data jobs? Cities near Springfield, VA with the most Welo Data job openings:
Welo Data jobs near you
Project Perseus \u007C Data Labeling Associate - German Speakers (Human-in-the-Loop AI)

Project Perseus \u007C Data Labeling Associate - German Speakers (Human-in-the-Loop AI)

Welo Data

Washington, DC

$34/hr

Full-time

Posted 18 days ago

Job description

Overview

Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.

This is not a traditional annotation role.

You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.

We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.

Project Details

  • Job Title: Data Labeling Associate
  • 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: $34/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: New York City, 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
  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
  • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • Identify trends in model performance and communicate insights clearly
  • Participate in team discussions, calibrations, and stakeholder syncs
  • Partner with leads and cross-functional teams to refine quality standards
  • Document findings 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.  
  • 1–2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful — but not required
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.