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Data Annotation Jobs in Laurel, MD (NOW HIRING)

YO AI Labs

AI Consulting Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in strategy consulting, management consulting ...

Posted today

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Data Annotation information

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What are the most commonly searched types of Data Annotation jobs in Laurel, MD? The most popular types of Data Annotation jobs in Laurel, MD are:
What are popular job titles related to Data Annotation jobs in Laurel, MD? For Data Annotation jobs in Laurel, MD, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Laurel, MD look for? The top searched job categories for Data Annotation jobs in Laurel, MD are:
What cities near Laurel, MD are hiring for Data Annotation jobs? Cities near Laurel, MD with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Laurel, MD as of August 2026, with employment types broken down into 65% Full Time, 9% Part Time, and 26% Contract. Highlights an 73% In-person, 5% Hybrid, and 22% Remote job distribution.

AI Consulting Expert - Remote

YO AI Labs

Washington, DC • Remote

$100 - $200/hr

Part-time

Posted 20 hours ago

Posted today

Job description

Job Title: AI Consulting Domain Remote

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

Job Overview

We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated business content, helping enhance the quality, accuracy, and reasoning of AI outputs. No prior AI experience is required—your consulting expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business objectives.
  • Author, review, and enhance strategy reports, market analyses, business cases, executive summaries, and technical documentation.
  • Develop, refine, and evaluate prompts for AI models.
  • Conduct quality assurance and rubric-based evaluations of AI-generated outputs.
  • Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.
  • Provide actionable feedback and recommendations to improve AI model performance.
  • Collaborate remotely with project teams to support continuous AI improvement.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical & Report Writing
  • Business Communication
  • Content Review & Editing
  • Data Interpretation
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in strategy consulting, management consulting, corporate strategy, business transformation, or operations.
  • Experience preparing strategy reports, business cases, market analyses, client presentations, or executive recommendations.
  • Strong professional writing, business communication, and technical editing skills.
  • Excellent critical thinking, analytical reasoning, and structured problem-solving abilities.
  • Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA, JD, or PhD) is a plus.
  • Candidates with strong academic or professional achievements are encouraged to apply