Project Perseus | Data Labeling Associate - Portuguese (Portugal) Speakers (Human-in-the-Loop AI)

Weloglobal
California, US
On-siteCareer-pivot friendly

Who this role is best for

Best suited to detail-oriented individuals comfortable with onsite work in major US cities, who are curious about AI and confident in contributing to team discussions.

Best fit for

  • Candidates who thrive in structured onsite environments with clear commute requirements.
    — “100% onsite position — remote work is not available”
  • Individuals naturally curious about AI and comfortable forming independent opinions.
    — “naturally curious about AI, comfortable forming opinions”
  • Those who can balance critical thinking with adherence to guidelines.
    — “ability to think critically matters just as much as following guidelines”

Things to consider

  • Must be authorized to work in the U.S. without visa sponsorship.
    — “Must be authorized to work in the U.S. (no visa sponsorship)”
  • One-year contract duration with potential extension, not permanent employment.
    — “1-year contract with possibility of extension”

How to stand out

  • Demonstrate specific examples where your judgment improved system outputs.
    — “evaluating outputs, identifying gaps, and helping improve how these systems behave”
  • Highlight past roles requiring both independent analysis and team collaboration.
    — “confident in contributing to conversations with teammates, leads, and stakeholders”
  • Showcase experience with detailed quality control processes in fast-moving environments.
    — “detail-oriented individuals to join our team as Data Labeling Associate”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · TeamLevel · Junior

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

What success looks like

  • evaluate AI outputs
  • identify gaps
  • improve AI systems
Typical background
data qualitymodel evaluation

Skills & requirements

Required

Data LabelingAI EvaluationModel ImprovementHuman Judgment

Preferred

Cutting-edge AI Systems

Stack & domain

Ai SystemsData LabelingModel EvaluationCritical ThinkingProblem-solvingTeamworkLeadershipAIData Quality

About the role

Original posting from Weloglobal via Lever

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.

Source: Weloglobal careers (Lever)

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