Verified current Job

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

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 — ev...

Job Full source details
Api Lever Co Opportunities United States Verified 1 day ago Reference 26effb5d-d0ed-4e92-86df-f3bea6b11162
✓ 90% verification score · Source: Api Lever Co Opportunities · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull Time
Published compensationUSD 34.00 – 34.00per-hour-wage
CountryUnited States
DepartmentWelo Data - AI Services

Overview

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

Full job description

About The Role

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

What we offer

  • 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.

Tips for this job

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.

Verification notes

Discovered directly from the employer’s public Lever Postings API. Full public description, role lists and additional information were normalized into safe candidate-facing content.

Original authoritative source

Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

Api Lever Co Opportunities ↗

Browse current Job and Scholarship listings from Api Lever Co Opportunities →

Related opportunities

Other current verified records you may want to review.

More ways to save

Discover deals, coupons and free courses on our sister site.

Explore DealVorio
Save more with DealVorio: deals, coupons, free courses, apps and books