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Ai Labeling Jobs in Washington (NOW HIRING)

Welo Data

Data Labeling Associate

Washington, DC

$34/hr

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 ...

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Ai Labeling information

What does a typical day look like for an AI Labeling team member?

A typical day as an AI Labeling team member involves reviewing large volumes of data—such as images, audio, or text—and accurately tagging or categorizing each piece according to specific guidelines. You’ll often work both independently and in collaboration with a team lead or quality assurance specialist, who reviews and validates your work. Regular communication with teammates and project managers helps clarify any ambiguities and ensures consistency across the project. While the work can be repetitive, it is essential for creating training data that powers AI models, and team members often rotate between different projects for variety and skill development.

What is an AI Labeling job?

An AI labeling job involves annotating data (such as images, text, audio, or video) to help train machine learning models. This can include tasks like categorizing objects, transcribing speech, or identifying patterns. Accurate labeling is essential for AI systems to learn and improve their performance. The job typically requires attention to detail and an understanding of specific labeling guidelines. It is often performed using specialized software tools provided by AI companies.

How much do AI labelers make?

AI labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are remote and may offer flexible schedules, with some roles paying per project or data set completed.

What jobs are in demand for AI?

In AI, in-demand jobs include AI engineer, machine learning engineer, data scientist, and data analyst. These roles require skills in programming, data modeling, and familiarity with tools like Python, TensorFlow, and cloud platforms, often with relevant certifications and a strong understanding of algorithms and data structures.

What does an AI labeler do?

An AI labeler is responsible for reviewing and annotating data, such as images, videos, or text, to help train machine learning models. They use specialized tools to add accurate labels or tags, ensuring data quality for AI systems. Attention to detail and understanding of labeling guidelines are essential for this role.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes ownership of significant projects. These roles usually involve leadership, strategic planning, and expertise in AI tools, programming languages, and data analysis. Compensation at this level reflects the seniority and impact of the role within a company or organization.

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

To thrive in an AI Labeling role, you need strong attention to detail, the ability to follow detailed instructions, and basic computer literacy, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, workflow management tools, and sometimes image or audio editing software is commonly expected. Strong communication, patience, and the ability to quickly learn new guidelines are valuable soft skills in this position. These skills are essential to ensure high-quality, accurate datasets that directly impact the performance of artificial intelligence systems.

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What cities in Washington are hiring for Ai Labeling jobs? Cities in Washington with the most Ai Labeling job openings:
Ai Labeling jobs near you
Infographic showing various Ai Labeling job openings in Washington as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 49% In-person, and 51% Remote job distribution.

Czech Data Labeling Analyst(Speech & Voice )

Welocalize

Washington, DC • On-site

Full-time

Re-posted 21 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

331st of 488 rated business services

Job description

Job Summary:
Welocalize is looking for detail-oriented and reliable individuals to join their team as Data Labeling Analysts, supporting speech and voice AI systems. The role focuses on building datasets that power AI systems by executing data labeling tasks while ensuring accuracy and consistency.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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