Project Perseus | Data Quality Analyst - Spanish Speakers (Human-in-the-Loop AI)

First Roles; San Francisco (CA); On-site; USD 43,000 - 62,000; Full time

Benefits offered by this job

Paid Vacation

Holidays

Sick Leave

Medical Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Voluntary Benefits

Free Gourmet Food

Snacks & Beverages

Campus Features

Commuter Benefits

Job summary

Welo Data in San Francisco is seeking a Data Quality Analyst who speaks Spanish to join our on-site team. You will audit outputs, guide DLAs, and help maintain high-quality data for human-in-the-loop AI workflows.

You’ll collaborate with engineers and project leads to apply complex guidelines consistently, support onboarding, and ensure accuracy across fast-moving tasks in a dynamic, real-world setting. This is a 40-hour-per-week, full-time onsite role.

Qualifications

• Native-level Spanish proficiency and a university degree.
• English at B2 level or higher.
• 2–4 years in data annotation, content quality, QA, or related fields.
• Experience with AI/ML data workflows or human-in-the-loop evaluation.
• Prior auditing of others' work and applying guidelines consistently.

Responsibilities

• Support quality and execution across DLA teams, ensuring standards at scale.
• Audit DLA outputs and provide actionable feedback to improve accuracy.
• Act as first line of support for DLAs, answering questions and interpreting guidelines.
• Help DLAs navigate ambiguity and apply evolving instructions.
• Support onboarding and training of new DLAs through hands-on guidance.
• Monitor workflows, queues, and blockers; escalate risks to Team Leads.
• Identify patterns and edge cases in human and model outputs.
• Participate in calibrations, team discussions, and stakeholder syncs.
• Document findings clearly and concisely for actionability.

Skills

Spanish language proficiency

English proficiency (B2+)

Data annotation

Quality assurance

AI data workflows

Auditing

Education

Bachelor’s degree

Job description

Project Perseus | Data Quality Analyst - Spanish Speakers (Human-in-the-Loop AI)

Company: Welo Data
Location: San Francisco, California

Salary: $129,204 per year - estimated

NEW REMOTE

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 : 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: $38/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, Austin. 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 Spanish 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.