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Skills: Data Labeling, AI Model Evaluation, Spanish Proficiency, English Proficiency, Professional Writing
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General Application
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Full-time, Contract
bachelor degree
Paid Vacation, Paid Company Holidays, Paid Sick Leave, Medical Insurance, Dental Insurance, Vision Insurance
Posted 105d ago
~40 hrs/week
Responsibilities
Evaluate AI model outputs and provide structured feedback to improve system behavior and data quality. Identify patterns, edge cases, and failure modes while contributing to the refinement of evaluation frameworks.
Requirements
Requires a university degree, native-level Spanish, and B2 English proficiency with 1-2 years of professional writing experience. Candidates must have 2+ years of experience in GenAI safety considerations and be authorized to work in the U.S.
Full job 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.
\nWhat 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)
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.
\n
$34 - $34 an hour
\n
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.
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.
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale. Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide.
Offices: 136 Madison Avenue, 6th Floor, New York, NY 10016, US · Strada Henri Barbusse 44-46, Cluj-Napoca, Cluj 400616, RO · Via Alserio, 22, Milan, Lomb. 20159, IT · 123 NE 3rd Ave, Portland, Oregon 97232, US
How much do Data & Analytics jobs in Washington, DC pay?
Based on 1679 listings with disclosed salaries, most data & analytics jobs in Washington, DC pay between $78k–$202k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Washington, DC right now?
There are currently 2,209 open data & analytics positions in Washington, DC listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Washington, DC?
Companies currently hiring include Booz Allen Hamilton, The World Bank Group, CACI International Inc, Accenture Federal Services, Amentum, among others. Browse the listings above to see every active employer.
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Yes — 1089 of the 2209 open data & analytics positions offer remote or hybrid work (364 remote, 725 hybrid).
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