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Part Time Ai Data Labeling Jobs in Washington (NOW HIRING)

Bechtel

AI Data Readiness Lead

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... The AI Data Readiness Lead is a technical role responsible for assessing, preparing, and ...

Bechtel

AI Data Readiness Lead

Reston, VA · On-site +1

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... The AI Data Readiness Lead is a technical role responsible for assessing, preparing, and ...

Vantor

Geospatial Advisor (Part-Time)

Falls Church, VA · On-site

Vantor is seeking a part-time Geospatial AI Consultant to provide strategic technical guidance ... Advanced expertise in geospatial AI/ML, computer vision, imagery annotation, and data labeling ...

YO AI Labs

AI Finance Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation ...

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All JobsAi Data Labeling JobsPart Time Ai Data Labeling JobsPart Time Ai Data Labeling Jobs in Washington

Part Time Ai Data Labeling information

What is part time AI data labeling?

Part-time AI data labeling involves annotating or categorizing data such as images, text, audio, or video to train and improve artificial intelligence and machine learning models. As a part-time data labeler, you work flexible hours to tag or classify data according to specific guidelines provided by a company or research team. This role is essential for creating high-quality datasets that help AI systems learn to recognize patterns, objects, or language. The work can often be done remotely and may require attention to detail and basic computer skills. Many companies hire part-time data labelers to handle large volumes of data efficiently.

What are the key skills and qualifications needed to thrive as a part time AI data labeling specialist?

To thrive as a Part Time AI Data Labeling Specialist, you need attention to detail, basic computer literacy, and often a high school diploma or equivalent. Familiarity with labeling platforms, annotation tools, and sometimes experience with data management systems is typically required. Reliability, time management, and the ability to follow precise instructions are crucial soft skills for this role. These skills ensure high-quality, accurate datasets that support effective machine learning model development.

What are some common challenges faced by part time AI data labelers, and how can they be effectively managed?

Part-time AI data labelers often encounter challenges such as repetitive tasks, maintaining high accuracy, and adapting to evolving labeling guidelines. To manage these, it's important to take regular breaks to prevent fatigue, stay updated on any changes to annotation protocols, and communicate with supervisors or team members when clarifications are needed. Leveraging available training resources and quality assurance feedback can also help improve performance and make the work more engaging. Collaboration with other labelers through team chats or forums can provide support and insights for handling tricky cases.

What is the difference between Part Time Ai Data Labeling vs Part Time Data Annotation Specialist?

AspectPart Time Ai Data LabelingPart Time Data Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hoursRemote or onsite, flexible schedule
Industry UsageAI, machine learning, tech companiesData management, research, tech sectors
Job FocusLabeling data for AI trainingAnnotating data for various applications

Part Time Ai Data Labeling and Part Time Data Annotation Specialist roles share similar credentials and work environments, often involving remote work and flexible hours. The main difference lies in the specific focus: AI Data Labeling emphasizes preparing data for machine learning models, while Data Annotation Specialists may work on broader data types for various purposes. Both roles are essential in data-driven industries and often overlap in skills and industry usage.

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

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

What are popular job titles related to Part Time Ai Data Labeling jobs in Washington?

For Part Time Ai Data Labeling jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Part Time Ai Data Labeling jobs in Washington look for?

The top searched job categories for Part Time Ai Data Labeling jobs in Washington are:

Part Time Ai Data Labeling jobs near you
Infographic showing various Part Time Ai Data Labeling job openings in Washington as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.

AI Data Scientist Expert - Remote

YO AI Labs

Washington, DC • Remote

$100 - $200/hr

Part-time

Posted 18 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.