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Human Rights Data Analyst Jobs in Seattle, WA (NOW HIRING)

King County

SDA/TLT Human Resources Analyst

Seattle, WA · On-site

$45.90 - $65/hr

In addition, this position advises management on a variety of HR functions including employee data ... As part of the collaborative HR team, this position may backfill other Analysts' body of work due ...

King County, WA

SDA/TLT Human Resources Analyst

Seattle, WA · On-site

$45.91 - $58.19/hr

In addition, this position advises management on a variety of HR functions including employee data ... As part of the collaborative HR team, this position may backfill other Analysts' body of work due ...

LHH US

HRIS Analyst

Tacoma, WA · On-site

$45 - $60/hr

In this role, you will partner with HR, Payroll, IT, and business leaders to maintain employee data, generate reports and analytics, troubleshoot system issues, support upgrades and integrations, and ...

New

LHH US

HRIS Analyst

Tacoma, WA · On-site

$45 - $60/hr

In this role, you will partner with HR, Payroll, IT, and business leaders to maintain employee data, generate reports and analytics, troubleshoot system issues, support upgrades and integrations, and ...

New

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All JobsHuman Rights Data Analyst JobsHuman Rights Data Analyst Jobs in Seattle, WA

Human Rights Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do human rights data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for human rights data analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

What does a human rights data analyst do?

A Human Rights Data Analyst collects, processes, and interprets data related to human rights issues, such as discrimination, abuses, or violations. They use statistical tools and data visualization techniques to identify patterns, trends, and areas of concern. Their work supports organizations in advocating for policy changes, raising awareness, and developing effective strategies to protect human rights. Analysts often collaborate with researchers, lawyers, and advocacy groups to ensure data-driven decision-making.

What skills and qualifications are needed to be a human rights data analyst?

To thrive as a Human Rights Data Analyst, you need strong analytical skills, a background in social sciences or statistics, and experience with data collection and interpretation. Proficiency in statistical software (such as R, Python, or SPSS), data visualization tools, and knowledge of data privacy regulations are typically required. Critical thinking, attention to detail, and effective communication skills help you interpret complex data and present findings to diverse audiences. These skills and qualities are crucial for accurately identifying human rights trends and supporting advocacy with credible, actionable evidence.

How does a human rights data analyst collaborate with legal teams and advocacy groups?

Human Rights Data Analysts often work closely with legal teams and advocacy groups by providing them with data-driven insights to support casework, policy recommendations, and campaigns. They gather, clean, and analyze data related to human rights abuses, then translate complex findings into accessible reports and visualizations. Regular meetings and collaboration sessions ensure that analysts understand the specific needs of advocates and lawyers, helping to tailor data outputs for maximum impact in legal proceedings and public outreach.

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

Seattle, WA • On-site

Welo Data
Data Services • 1 - 5K employees
Learn more about Welo Dataexternal

$32/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Key responsibilities

  • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency

  • Support quality and execution across DLA teams by ensuring work meets defined standards at scale

  • Act as the first line of support for DLAs by answering questions, helping interpret guidelines, and supporting onboarding and training

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.