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Ai Data Labeling Jobs in Bothell, WA (NOW HIRING)

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Ai Data Labeling information

What is an AI Data Labeling job?

An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.

What are the key skills and qualifications needed to thrive in the Ai Data Labeling position, and why are they important?

To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.

How much do AI labelers make?

AI data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or part-time, with some companies offering bonuses for accuracy and efficiency.

What does an AI data labeler do?

An AI data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. This role requires attention to detail and familiarity with labeling tools, often working remotely with flexible schedules. Accurate labeling is essential for improving AI system performance.

Is data labelling a good career?

Data labeling is a common entry-level role in the AI industry that involves annotating data for machine learning models. It offers flexible schedules and requires attention to detail, but it may have limited advancement opportunities without additional skills or certifications.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior data scientists, machine learning engineers, or AI executives, with compensation including salary, bonuses, and stock options reaching that amount annually. These positions often require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and industry expertise.

What are typical daily tasks for an AI Data Labeling professional?

As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.

What job categories do people searching Ai Data Labeling jobs in Bothell, WA look for? The top searched job categories for Ai Data Labeling jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Ai Data Labeling jobs? Cities near Bothell, WA with the most Ai Data Labeling job openings:
Ai Data Labeling jobs near you
Infographic showing various Ai Data Labeling job openings in Bothell, WA as of June 2026, with employment types broken down into 61% Full Time, 36% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Labeling Associate Portuguese - Bilingual (Portugal)

Data Labeling Associate Portuguese - Bilingual (Portugal)

Welocalize

Redmond, WA

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

336th of 428 rated business services

Job description

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide?
WHAT YOU’LL DO
• Execute Data labelling and annotation tasks across speech and voice datasets.
• Work with audio and language data, including transcription, categorization, and tagging.
YOU ARE A FIT IF YOU’RE…
• A Portuguese (Portugal) speaker with strong written communication skills
• Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred)
• A Bachelor's degree holder
PROJECT DETAILS
• Location: 100% Onsite (Bay Area, Seattle, NYC, or client-dependent locations)
• Employment Type: W2 Full-Time Employee
• Hours: 40 hours per week
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)
• Eligible Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston
BENEFITS
• $34 per hour
• Paid Vacation (6 days)
• Paid Company Holidays
• Paid Sick Leave
• Employee Assistance Program
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Additional Voluntary Benefits (Life, Accident, Critical Illness, etc.)
ADDITIONAL BENEFITS (Upon Eligibility)
• Medical, Dental, and Vision Insurance
• Free Breakfast, Lunch, and Dinner (where applicable)
• Stocked Micro-Kitchens with Snacks and Beverages
• Commuter Benefits, Including Shuttles and Bike-to-Work Options
• Unique Campus Amenities Depending on Location

Company Description

Welocalize enables brands to reach and grow global audiences through services and solutions for translation, localization, adaptation, and automation. We offer multilingual solutions to transform all content types for local audiences, at every step of our clients’ global business journey. We have 1,500 global team members across offices in North America, Europe and Asia dedicated to helping some of the world’s largest brands operate and succeed internationally.

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