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Entry-Level Annotation Judge (Data Quality Assessor) - Apply Now!


Company: 24 Seven Talent
Location: United States (Remote)
Employment Type: Full-Time
Salary: $43,680 per year ($21/hr on a W2)
Duration: 10 months (with potential for extension or permanent conversion)

 

💼 Launch Your AI Career from Home – Join as an Entry-Level Annotation Judge & Help Shape the Future of Real Estate Tech



Are you curious about artificial intelligence but don’t know where to start? What if you could kick off your AI journey from the comfort of your home—without needing a computer science degree or years of experience? Here’s your chance.

Our client—a fast-moving real estate tech company founded by ex-Microsoft innovators—is blending property tech with Generative AI to transform how people buy and sell homes. At the heart of their AI revolution is a team of people making the technology smarter, more accurate, and more human. And right now, they're hiring Entry-Level Annotation Judges to help make that happen.

As part of the Human In The Loop (HITL) Operations team, you’ll be responsible for ensuring that AI systems understand and respond to human conversations naturally and logically. From fine-tuning chatbot replies to evaluating search queries, your work will directly influence how users interact with real estate agents through intelligent platforms.

Think of it as quality control for AI—and you’re the judge.

Whether you’re a recent graduate, a wordsmith with a passion for linguistics, or just someone who thrives on details and problem-solving, this role offers a unique gateway into the world of Natural Language Processing (NLP) and machine learning. You’ll collaborate with seasoned AI professionals, gain real-world experience, and be part of a movement that’s redefining real estate—one conversation at a time.

This is a 10-month, full-time, remote role that pays $21 per hour ($43,680 annually) with a high potential for extension or permanent conversion. No advanced tech background? No problem. What you need is curiosity, precision, and a genuine interest in improving AI through better data.


 ⚠️ Important Application Disclaimer:

Before applying for this position, please carefully read the job description and follow all application instructions. Failure to do so may result in your application being rejected. This ensures that you are well-informed & increases their chances of securing the role as well as to see if this job role is a good fit for you. Make sure you understand the job responsibilities, qualifications, and how to apply before submitting your application.


Company Overview

Our client, an innovative real estate marketplace company founded by former Microsoft executives, is actively developing AI-powered solutions to streamline real estate transactions. The AI team is leveraging Generative AI to enhance product experiences and optimize real estate interactions. As part of their Human In The Loop Operations team, they are seeking an Entry-Level Annotation Judge (Data Quality Assessor) to contribute to their Natural Language Processing (NLP) initiatives.

 

This role offers an excellent opportunity to collaborate with experienced Operations Managers and Natural Language experts. If you're eager to work with AI/ML technologies and improve chatbot interactions and search functionalities, this is the perfect opportunity to gain hands-on experience in a rapidly growing industry.

 

Role Overview

As an Annotation Judge, you will play a critical role in evaluating and refining AI models that process verbal interactions between home buyers and real estate agents. You will assess AI-generated outputs, ensuring accuracy, human-like responses, and logical classification of conversations and search queries. Additionally, you will help develop annotation guidelines that can be used by non-native English speakers, improving the long-term scalability of AI solutions.

This position requires a high level of attention to detail, strong analytical skills, and an eagerness to learn. The ideal candidate is a responsible self-starter who thrives in ambiguous situations and is enthusiastic about the evolving field of AI.

 

Key Responsibilities

  • Review & Evaluate Data: Assess annotated data to ensure it meets quality standards and aligns with project goals.
  • Collaborate with Teams: Work with internal stakeholders to enhance AI model performance by providing critical feedback on training data.
  • Develop Annotation Guidelines: Help create and maintain best practices for data annotation and model training.
  • Annotate Training Data: Label and classify data accurately to establish a solid foundation for AI models.
  • Identify Gaps in Training Content: Pinpoint areas where training materials need improvement and suggest enhancements.

 

Who You Are?

  • Detail-oriented with strong analytical skills.
  • Passionate about AI and excited to contribute to the field.
  • Comfortable working in ambiguous scenarios with evolving project requirements.
  • A collaborative team player with excellent communication skills.

 

Bonus Qualifications

  • Background in linguistics, English, or related fields.
  • Experience in copywriting, UX authoring, or voice-based content development.
  • Knowledge of Machine-generated Speech evaluation, Prompt Engineering, Search Results Evaluation, or Query Categorization.
  • Familiarity with NLP annotation tools and software.

 

Benefits & Perks

  • Fully remote position with flexible working hours.
  • Opportunity to contribute to cutting-edge AI projects.
  • Potential for extension or conversion to a permanent role.

 

How to Apply?

If you are excited about AI, data quality, and shaping the future of real estate technology, apply today through Rise - Rise - Jobs, USA Remote Job Mysmartpros, Remote Jobs In USA, or Remote Jobs platforms. No prior experience in AI is required—just a willingness to learn and a passion for data!


 

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