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Evening Real Estate Data Science Jobs (NOW HIRING)

Insight Global

Real Estate Specialist

Los Angeles, CA · Remote

$25 - $33/hr

Real Estate Specialist Duration : 6 months Location : REMOTE (8AM-5PM Los Angeles) Must-Haves ... Collaborate with engineers and data scientists to optimize model performance based on annotated ...

MIG Real Estate Services, LLC

Senior Data Analyst

$88K - $111K/yr

MIG Real Estate is looking for a Senior Data Analyst to join our growing real estate team ... Bachelor's degree in a field related to data science, or equivalent practical experience. * Minimum ...

Guggenheim

Real Estate Analyst

Frisco, TX

Working knowledge of real estate data and analytics platforms including: Placer.ai, Sites USA, Crexi, and Land Glide Salary * Base salaries may vary depending on factors such as location and ...

WillScot

Senior Real Estate Analyst

Scottsdale, AZ · Hybrid

The Senior Real Estate Analyst supports the real estate, operations and finance teams with ... This role blends data analysis, stakeholder engagement, project management, and business case ...

WillScot

Senior Real Estate Analyst

Scottsdale, AZ · On-site

The Senior Real Estate Analyst supports the real estate, operations and finance teams with ... This role blends data analysis, stakeholder engagement, project management, and business case ...

WillScot

Senior Real Estate Analyst

Scottsdale, AZ · Hybrid

The Senior Real Estate Analyst supports the real estate, operations and finance teams with ... This role blends data analysis, stakeholder engagement, project management, and business case ...

Guggenheim Partners

Real Estate Analyst

Frisco, TX · On-site

Working knowledge of real estate data and analytics platforms including: Placer.ai, Sites USA, Crexi, and Land Glide Salary * Base salaries may vary depending on factors such as location and ...

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How much do evening real estate data science jobs pay per year?

As of Jun 10, 2026, the average yearly pay for evening real estate data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an Evening Real Estate Data Scientist?

An Evening Real Estate Data Scientist is a professional who applies data science techniques to analyze and interpret real estate data, typically working during evening hours. Their responsibilities often include examining property trends, evaluating investment opportunities, and creating predictive models to assist real estate companies or clients in making informed decisions. Working in the evenings can accommodate clients across different time zones or support organizations that operate outside standard business hours. These data scientists need strong analytical, statistical, and programming skills, often using tools like Python, R, and SQL. Their insights help optimize property valuation, marketing strategies, and operational efficiencies in the real estate sector.

What are the typical collaboration dynamics for an Evening Real Estate Data Science role?

In an Evening Real Estate Data Science role, you will often work closely with real estate analysts, property managers, and IT professionals to deliver data-driven insights outside of standard business hours. This unique schedule allows you to process and analyze large datasets with minimal interruptions while providing timely updates for teams starting their day. Regular communication is maintained via digital channels, and you may participate in virtual meetings or handoff sessions to ensure seamless workflow continuity. Collaboration is key, so strong remote communication and documentation skills are essential for success in this role.

What are the key skills and qualifications needed to thrive as an Evening Real Estate Data Scientist, and why are they important?

To excel as an Evening Real Estate Data Scientist, you need strong analytical skills, experience in statistical modeling, and a background in real estate, typically supported by a degree in data science, computer science, or a related field. Proficiency with tools like Python, R, SQL, and real estate analytics platforms such as CoStar or Zillow is essential, as well as familiarity with machine learning frameworks. Excellent problem-solving, communication, and time management skills help you translate complex data into actionable business insights, especially when working independently or on flexible evening schedules. These competencies are critical for providing accurate, timely analysis that supports strategic decision-making in the real estate sector.
What cities are hiring for Evening Real Estate Data Science jobs? Cities with the most Evening Real Estate Data Science job openings:
What are the most commonly searched types of Real Estate Data Science jobs? The most popular types of Real Estate Data Science jobs are:
What states have the most Evening Real Estate Data Science jobs? States with the most job openings for Evening Real Estate Data Science jobs include:
Evening Real Estate Data Science jobs near you
Real Estate Specialist

Real Estate Specialist

Insight Global

Los Angeles, CA • Remote

$25 - $33/hr

Contractor

Medical, Dental, Vision

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

Job description

Title: Real Estate Specialist

Duration: 6 months

Location: REMOTE (8AM-5PM Los Angeles)


Must-Haves:

  • Minimum of 3+ years of active experience as a licensed real estate agent or broker, demonstrating a deep understanding of the real estate transaction process.
  • Demonstrated deep interest and curiosity in Artificial Intelligence, including experience reviewing or evaluating AI-generated content.
  • Bachelor's degree in English, Linguistics or a related field.
  • Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation.
  • Excellent attention to detail and analytical skills.
  • Ability to work effectively in a collaborative team environment.


Plusses:

  • Experience with copywriting, User Experience authoring, content development around voice and brand guidelines.
  • Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query Categorization
  • Experience following or managing complex processes, and working both independently and with a team to achieve a goal.


Responsibilities:

  • Review and/or evaluate annotated data to ensure it meets quality standards and project requirements.
  • Provide feedback and guidance to engineers to improve accuracy.
  • Collaborate with engineers and data scientists to optimize model performance based on annotated data.
  • Develop and maintain annotation guidelines and best practices.
  • Provide training data to engineers to establish Ground Truth data.
  • Provide input/examples on Training content.
  • Identify gaps in training content and suggest improvements.


Description:

A local company is searching for a large group of Annotators to join their teams. The team sits at the intersection of AI/ML innovation and real estate, leveraging technologies like generative AI, large language models, and multimodal systems to power products such as automated home tours, chatbots, and personalized recommendations, with the Annotation Judge playing a key role in evaluating and improving AI-driven interactions by assessing conversation quality, chatbot accuracy, and classification outputs; this position works cross-functionally with operations, engineering, and data science teams, requiring strong attention to detail, language nuance, and the ability to help define scalable annotation standards for global contributors. This role offers flexible hours typically aligned with 9–5 PM PST, though schedules and durations will vary based on project needs, with opportunities for recurring work; candidates must be licensed real estate agents located in the Seattle area to ensure local market knowledge, and while roles are remote, only applicants who submit a PDF resume with a completed candidate questionnaire and achieve a minimum score of 80/110 will be considered, as there is no interview process.