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Part Time Remote Research Jobs in Washington (NOW HIRING)

Booz Allen Hamilton, Inc.

AI Researcher

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0244539 Location: Chantilly,VA,US Share job via: Share AI Researcher ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

ICF

On Call Critical Minerals Expert - Remote

Washington, DC · On-site +1

$20.50 - $21/hr

Senior Critical Minerals Expert (On-Call, Part-Time/Hourly/Remote) Are you a critical minerals and ... and magnet research, and facilitate recycling (including black mass and other battery materials)

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Part Time Remote Research information

What is a part time remote research job?

A part time remote research job involves conducting research tasks for an employer or organization while working remotely, typically from home, and on a part-time schedule. These roles can include gathering information, analyzing data, compiling reports, or supporting research projects in fields such as academia, business, or healthcare. Part time remote research positions offer flexibility, allowing individuals to balance other commitments while gaining valuable research experience. Communication is usually handled online, and tasks are often completed independently with periodic check-ins. This type of job is ideal for self-motivated individuals who are comfortable working autonomously.

How do part time remote research roles typically structure collaboration and communication with the rest of the research team?

Part-time remote research professionals often collaborate with their teams through digital platforms such as email, video calls, and project management tools. Regular check-ins and scheduled virtual meetings help ensure alignment on project goals and deadlines. While you may work independently on assigned tasks, you’ll likely share progress updates, seek feedback, and participate in discussions to integrate your findings with the broader team's work. This structure allows for flexibility, but also requires strong self-management and clear communication skills to stay connected and contribute effectively.

What are the key skills and qualifications needed to thrive as a part time remote researcher, and why are they important?

To thrive as a Part Time Remote Researcher, you need strong analytical skills, attention to detail, and proficiency in research methodologies, often supported by a relevant degree or coursework. Familiarity with data analysis tools, online databases, and platforms like Excel, Google Scholar, or survey software is typically required. Excellent written communication, self-motivation, and time management are essential soft skills for independent and deadline-driven work. These abilities ensure high-quality research output, reliable results, and effective collaboration despite remote and part-time arrangements.

What is the difference between Part Time Remote Research vs Part Time Remote Data Entry?

AspectPart Time Remote ResearchPart Time Remote Data Entry
Required CredentialsBachelor's degree often preferred; research skills beneficialNo formal credentials typically required; accuracy is key
Work EnvironmentHome-based, flexible hours, independent workHome-based, flexible hours, repetitive tasks
Industry UsageAcademia, market research, consultingAdministrative, data management, business support
Common Search/ComparisonPart Time Remote Research vs Part Time Remote Data Entry

Part Time Remote Research involves gathering and analyzing information, often requiring research skills and some credentials. In contrast, Part Time Remote Data Entry focuses on inputting data accurately, with less emphasis on formal education. Both roles are home-based and flexible, but they serve different industry needs and skill sets.

What are the most commonly searched types of Remote Research jobs in Washington?

The most popular types of Remote Research jobs in Washington are:

Part Time Remote Research jobs near you
Infographic showing various Part Time Remote Research job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 6% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

AI Data Scientist Expert - Remote

YO AI Labs

Washington, DC • Remote

$100 - $200/hr

Part-time

Posted 6 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.