Project Perseus | Data Quality Analyst - Multilingual (English + Additional Languages) - (Human-in-the-Loop AI)

Weloglobal
California
On-siteCareer-pivot friendly

Who this role is best for

Geared toward multilingual professionals with mid-level QA experience comfortable with auditing AI-human workflows. Requires on-site presence in major US tech hubs and a balance of technical precision with team coaching.

Best fit for

  • Candidates with 2-4 years in data annotation and strong language skills for cross-team guidance
    — “2–4 years of experience in data annotation, content quality, QA, or related fields
  • Professionals fluent in English plus at least two other languages from specified lists
    — “Fluency in English plus two or more additional languages
  • Individuals adept at translating evolving guidelines into actionable training for teams
    — “Help DLAs navigate ambiguity and apply evolving instructions effectively

Things to consider

  • On-site requirement in major US cities may conflict with remote work preferences
    — “100% onsite position — remote work is not available
  • Work authorization verification must occur within first three days of employment
    — “complete a live video verification with their selected IDs

How to stand out

  • Highlight experience providing structured feedback to improve team accuracy
    — “Audit DLA outputs and provide structured, actionable feedback
  • Emphasize multilingual proficiency with specific language pairs from job requirements
    — “Primary Language (Must have at least one): French, Italian, Spanish, or German
  • Showcase ability to identify patterns in both human and AI-generated data
    — “Identify patterns, recurring issues, and edge cases in both human and model outputs
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Ensure work meets defined standards
  • Audit outputs
  • Support DLAs
  • Improve guidelines
Typical background
Data annotationQuality assuranceData engineering

Skills & requirements

Required

Data Quality AssuranceData AnnotationGuideline InterpretationWorkflow ManagementTraining And CoachingRisk IdentificationProcess Improvement

Preferred

Ai/ml Data WorkflowsHuman-in-the-loop Evaluation

Stack & domain

Data AnnotationContent QualityQAAi/ml Data WorkflowsHuman-in-the-loop EvaluationAttention To DetailCommunicationProblem-solvingData QualityAI

About the role

Original posting from Weloglobal via Lever

Project Details

Job Title: Data Quality Analyst

Hiring Locations: 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

Location Policy: 100% onsite position — remote work is not available. To be considered, candidates must be located in or able to commute to one of the target cities listed above.

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:

  • Language Requirements: Fluency in English plus two or more additional languages:

Primary Language (Must have at least one): French, Italian, Spanish, or German.

Secondary Language (Must have at least one): Portuguese, Russian, Polish, Turkish, or Vietnamese.

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University degree (Bachelor’s or higher)

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2–4 years of experience in data annotation, content quality, QA, or related fields

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Strong ability to interpret and apply complex guidelines with consistency

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Excellent attention to detail with a high bar for quality

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Ability to stay consistent while working with evolving guidelines and priorities

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Experience in AI/ML data workflows or human-in-the-loop evaluation environments

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Prior experience auditing or reviewing the work of others

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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.

Compensation:

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.

Source: Weloglobal careers (Lever)

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