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HomeCompaniesWeloglobalProject Perseus | Data Labeling Associate -Turkish Speakers (Human-in-the-Loop AI)

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

Weloglobal · California · On Site · Active · $34–$34 / hour · Lever

Job facts

FieldValue
CompanyWeloglobal
TitleProject Perseus | Data Labeling Associate -Turkish Speakers (Human-in-the-Loop AI)
Normalized title-
Department / teamWelo Data - AI Services / Data Annotation
LocationSunnyvale, CA, United States
Work modelOn Site
Employment typeFull Time
Salary$34–$34 / hour
Statusactive
ATS providerLever
Posted / first seen2026-04-22 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Weloglobal.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Sunnyvale.Open
Department jobsActive postings in Welo Data - AI Services.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWeloglobal
Source2de9659a-8a12-48c4-a4ac-ed217a8126d1
ATS providerLever

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.

Full job record

Job ID0d5487349d92ec1728ddef9efebdd66ed8732dd4
Org IDaaa67d5b-8ec7-460b-a038-61d104e5a3fa
Source ID2de9659a-8a12-48c4-a4ac-ed217a8126d1
Board ID2de9659a-8a12-48c4-a4ac-ed217a8126d1
Providerlever
Provider Job Keyd1dd2634-2ff4-4c57-8da4-02922c02c237
TitleProject Perseus | Data Labeling Associate -Turkish Speakers (Human-in-the-Loop AI)
Normalized Title
Statusactive
Activeyes
Location TextCalifornia
DepartmentWelo Data - AI Services
TeamData Annotation
Employment TypeFull Time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySunnyvale
Salary RawUSD 34-34 per-hour-wage
Salary Min34
Salary Max34
Salary CurrencyUSD
Salary Periodhour
Source URLhttps://jobs.lever.co/weloglobal/d1dd2634-2ff4-4c57-8da4-02922c02c237
Apply URLhttps://jobs.lever.co/weloglobal/d1dd2634-2ff4-4c57-8da4-02922c02c237/apply
First Seen At2026-05-29 06:57:57Z
Last Seen At2026-06-06 19:47:59Z
Last Checked At2026-06-06 19:47:59Z
Last Changed At2026-05-29 06:57:57Z
Inactive At
Source Posted At2026-04-22 21:00:16Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=weloglobal/date=2026-06-06/2026-06-06T19-47-57-590Z-a8314e8556cf13e2132f166d6aa55bcdff4868d19f6a4b0a04468a0297f7ea58.json
Event Fields
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  "last_changed_at": "2026-05-29T06:57:57.107Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Sunnyvale, CA",
    "city": "Sunnyvale",
    "region": "CA",
    "country": "United States",
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    "confidence": 0.9
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  "salary_min": 34,
  "inferred_at": "2026-06-06T19:47:59.635Z",
  "launch_scope": {
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    "included": true,
    "language": "en",
    "location": {
      "raw": "Sunnyvale, CA",
      "city": "Sunnyvale",
      "region": "CA",
      "country": "United States",
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    "countries": [
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  },
  "remote_policy": null,
  "salary_period": "hour",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "What You’ll Do",
      "content": "\n<li>Evaluate AI model outputs and provide structured, high-quality feedback</li>\n<li>Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes</li>\n<li>Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios</li>\n<li>Contribute to improving evaluation frameworks, not just executing them</li>\n<li>Identify trends in model performance and communicate insights clearly</li>\n<li>Participate in team discussions, calibrations, and stakeholder syncs</li>\n<li>Partner with leads and cross-functional teams to refine quality standards</li>\n<li>Document findings in a clear, concise, and actionable way</li>\n"
    },
    {
      "text": "What We’re Looking For",
      "content": "\n<li><strong>Native-level language proficiency</strong> and a <strong>university degree</strong> (Bachelor’s or higher).</li>\n<li>B2 or superior level of English. &nbsp;</li>\n<li>1–2 years of professional writing experience with strong, structured writing skills</li>\n<li>Ability to apply complex writing rules and guidelines consistently</li>\n<li>Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience</li>\n<li>Strong critical thinking and attention to detail</li>\n<li>Ability to make sound judgment calls in ambiguous situations</li>\n<li>Naturally curious about AI, technology, and how systems behave</li>\n<li>Comfortable speaking up, asking questions, and contributing ideas</li>\n<li>Strong written and verbal communication skills</li>\n<li>Ability to stay consistent while working with evolving guidelines</li>\n<li>Experience in data quality, QA, annotation, or analysis is helpful — but not required</li>\n"
    },
    {
      "text": "Benefits",
      "content": "<div>\n\n<li>Paid Vacation: 6 days</li>\n<li>Paid Company Holidays: 2 days (Memorial Day and Labor Day)</li>\n<li>Paid Sick Leave: accrued per applicable state law and company policy</li>\n<li>Medical, Dental, and Vision Insurance (eligibility applies)</li>\n<li>Health Savings Account (HSA)</li>\n<li>401(k) Retirement Plan</li>\n<li>Employee Assistance Program</li>\n<li>Additional voluntary benefits (life, accident, critical illness, etc.)</li>\n<li>Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.</li>\n<li>Micro-kitchens &amp; Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.</li>\n<li>Unique Campus Features: Some locations include roof-top nature parks</li>\n<li>Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.</li>\n\n</div>"
    }
  ],
  "country": "US",
  "createdAt": 1776891616286,
  "updatedAt": null,
  "categories": {
    "team": "Data Annotation",
    "location": "California",
    "commitment": "Full Time",
    "department": "Welo Data - AI Services",
    "allLocations": [
      "California",
      "Sunnyvale, CA",
      "San Francisco, CA",
      "Seattle, WA",
      "Redmond, Washington",
      "Burlingame, CA",
      "New York City Metropolitan Area",
      "Austin, TX",
      "Los Angeles, CA",
      "Chicago, IL",
      "Washington, D.C.",
      "Boston, MA"
    ]
  },
  "salaryRange": {
    "max": 34,
    "min": 34,
    "currency": "USD",
    "interval": "per-hour-wage"
  },
  "workplaceType": "onsite"
}
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