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Weekend Ai Data Annotation Jobs in Washington (NOW HIRING)

Welo Data

Data Labeling Associate

Washington, DC · On-site

$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 and ...

Aston Carter

Paralegal

Fairfax, VA · On-site

$125/hr

Provide structured written feedback on complex legal content to support AI training, data annotation, and quality assurance processes. * Evaluate complex legal materials and apply strong judgment and ...

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Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

What are the most commonly searched types of Ai Data Annotation jobs in Washington?

The most popular types of Ai Data Annotation jobs in Washington are:

What are popular job titles related to Weekend Ai Data Annotation jobs in Washington?

For Weekend Ai Data Annotation jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Weekend Ai Data Annotation jobs in Washington look for?

The top searched job categories for Weekend Ai Data Annotation jobs in Washington are:

What cities in Washington are hiring for Weekend Ai Data Annotation jobs?

Cities in Washington with the most Weekend Ai Data Annotation job openings:

Weekend Ai Data Annotation jobs near you
Infographic showing various Weekend Ai Data Annotation job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

AI Safety & Data Quality Analyst (HITL) - Washington

Welo Data

Washington, DC • On-site

Contractor

Medical, Dental, Vision, Retirement

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Join the Human Intelligence Behind the World’s Leading AI – Washington
 

Are you sharp, curious, and obsessed with the details? Welo Data is looking for Data Quality Analysts who can go beyond simple labels to help define how AI should behave in the real world.

This is a Human-in-the-Loop (HITL) role where your judgment is the product. You won't just be following guidelines—you’ll be refining them, identifying failure modes, and ensuring that the next generation of AI is safe, accurate, and helpful.

The Mission: Beyond Annotation

  • Model Evaluation: Critique AI outputs and provide structured, high-level feedback that drives model improvement.
  • Safety Engineering: Use your 2+ years of GenAI safety experience to identify bias, risks, and edge cases.
  • Trend Analysis: Spot patterns in how models fail and communicate these insights to stakeholders.
  • Framework Architecture: Don’t just execute workflows—help improve the evaluation frameworks themselves.
  • Collaborative Calibration: Partner with leads and cross-functional teams to set the gold standard for AI quality.

Project Details

  • Job Title: Data Quality Analyst
  • Employment Type:  W2 Full-Time Employee
  • Hours: 40 hour/week
  • Location: Washington (On-site) —  Redmond, Seattle, or Bellevue
  • Pay Rate: 30$/hour

Benefits

Working on-site at our Washington office comes with premium benefits designed to let you focus on your best work:

  • Gourmet Dining: Free breakfast, lunch, and dinner with a wide variety of cuisines.
  • Endless Snacks: Micro-kitchens stocked with premium coffee, beverages, and healthy treats.
  • Campus Life: Access to unique features like rooftop nature parks and modern collaborative spaces.
  • Commuter Ease: Free transport, shuttles, and bike-to-work perks.
  • Full Security: Comprehensive Medical, Dental, and Vision + 401(k) and HSA.
  • Time Off: 15 days of combined Paid Sick/Holiday time + major holidays.

Who We’re Looking For

  • Education & Language: University degree (Bachelor’s or higher) and Native-level English proficiency are required.
  • The Multilingual Edge: Proficiency in languages other than English is highly preferred, with a particular interest in candidates demonstrating bilingual mastery in French, Italian, German, Spanish, or Brazilian Portuguese.
  • Writing Mastery: 1–2 years of professional writing experience with the ability to articulate complex "why" justifications clearly.
  • AI Safety Expertise: 2+ years of experience focusing on Safety & Trust in GenAI data delivery.
  • Critical Thinking: The ability to navigate "grey areas" and make sound judgment calls when guidelines are ambiguous or evolving.
  • Technical Curiosity: A natural interest in LLMs and the confidence to speak up and ask questions when something feels "off."
  • Operational Mindset: Experience in data quality, QA, or annotation is helpful, but a strong analytical mind is essential.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.